Our latest publications - BMI

• Zhao, Max; Burchard, Luk Bjarne; Schroeder, Daniel Thilo; Langguth, Johannes & Cai, Xing (2024). iPuma: High-Performance Sequence Alignment on the Graphcore IPU. In Taufer, Michela; Hoefler, Torsten; Hammond, Jeff & Randles, Amanda (Ed.), ISC High Performance 2024 Research Paper Proceedings. IEEE Press. ISSN 978-3-9826336-0-2. doi: 10.23919/ISC.2024.10528941.
• Yang, Mingyi; Kaarbø, Mari; Myhre, Vegard; Reims, HM; Karlsen, TH & Wang, Junbai [Show all 13 contributors for this article] (2024). Altered Genome-Wide DNA Methylation in the Duodenum of Common Variable Immunodeficiency Patients. Journal of Clinical Immunology. ISSN 0271-9142. 44(6). doi: 10.1007/s10875-024-01726-5.
• Reppe, Sjur; Gundersen, Sveinung; Sandve, Geir Kjetil Ferkingstad; Wang, Yunpeng; Andreassen, Ole & Medina-Gomez, Carolina [Show all 10 contributors for this article] (2024). Identification of Transcripts with Shared Roles in the Pathogenesis of Postmenopausal Osteoporosis and Cardiovascular Disease. International Journal of Molecular Sciences. ISSN 1661-6596. 25(10). doi: 10.3390/ijms25105554. Show summary

  Epidemiological evidence suggests existing comorbidity between postmenopausal osteoporosis (OP) and cardiovascular disease (CVD), but identification of possible shared genes is lacking. The skeletal global transcriptomes were analyzed in trans-iliac bone biopsies (n=84) from clinically well-characterized postmenopausal women (50 to 86 years) using microchips and RNA sequencing. Thousand transcripts highly correlated with areal bone mineral density (aBMD) were further analyzed using bioinformatics, and common genes overlapping with CVD and their biological mechanisms, pathways and functions were identified. Fifty genes (45 mRNAs, 5 miRNAs) were discovered with established roles in oxidative stress, inflammatory response, endothelial function, fibrosis, dyslipidemia and osteoblastogenesis/calcification. These pleiotropic genes with possible CVD comorbidity functions were also present in transcriptomes of microvascular endothelial cells and cardiomyocytes and differentially expressed between healthy and osteoporotic women with fragility fractures. The results were supported by a genetic pleiotropy-informed conditional False Discovery Rate approach identifying overlap in single nucleotide polymorphisms (SNPs) within several genes encoding the aBMD and CVD associated transcripts.The study provides transcriptional and genomic evidence for genes of importance for both BMD regulation and CVD risk in a large collection of postmenopausal bone biopsies. Most of the transcripts identified in the CVD risk categories have no previously recognized roles in OP pathogenesis and provide novel avenues for exploring the mechanistic basis for the biological association between CVD and OP.

• Stålberg, Stina Margrethe; Silwal-Pandit, Laxmi; Bastani, Nasser Ezzatkhah; Nebdal, Daniel J.H.; Lingjærde, Ole Christian & Skålhegg, Bjørn Steen [Show all 7 contributors for this article] (2024). Preoperative profiles of plasma amino acids and derivatives distinguish periampullary cancer and benign disease. BMC Cancer. ISSN 1471-2407. 24(1). doi: 10.1186/s12885-024-12320-8.
• Spilsberg, Bjørn; Nilsen, Hanne Katrine; Gulla, Snorre; Lagesen, Karin; Colquhoun, Duncan John & Olsen, Anne Berit (2024). Draft genome sequences of 13 Tenacibaculum maritimum isolates from farmed Norwegian Cyclopterus lumpus (lumpfish) and Scophthalmus maximus (turbot). Microbiology Resource Announcements (MRA). ISSN 2169-8287. doi: 10.1128/mra.00165-24. Full text in Research Archive
• Minotto, Thomas; Robert, Philippe; Hobæk Haff, Ingrid & Sandve, Geir Kjetil Ferkingstad (2024). Assessing the feasibility of statistical inference using synthetic antibody-antigen datasets. Statistical Applications in Genetics and Molecular Biology. ISSN 1544-6115. 23(1). doi: 10.1515/sagmb-2023-0027.
• Lång, Emma Helena; Lång, Anna Ulrika; Blicher, Pernille; Rognes, Torbjørn; Dommersnes, Paul Gunnar & Bøe, Stig Ove (2024). Topology-guided polar ordering of collective cell migration. Science Advances. ISSN 2375-2548. 10(16), p. 1–14. doi: 10.1126/sciadv.adk4825. Full text in Research Archive
• Sveen, Anita; Johannessen, Bjarne; Klokkerud, Solveig M.K.; Kraggerud, Sigrid M.; Meza, Leonardo Zepeda & Bjørnslett, Merete Pauline [Show all 13 contributors for this article] (2024). Evolutionary mode and timing of dissemination of high-grade serous carcinomas. JCI Insight. ISSN 2379-3708. 9(3). doi: 10.1172/jci.insight.170423.
• Skotheim, Rolf I.; Bogaard, Mari; Carm, Kristina Totland; Axcrona, Ulrika & Axcrona, Karol (2024). Prostate cancer: Molecular aspects, consequences, and opportunities of the multifocal nature. Biochimica et Biophysica Acta. CR. Reviews on Cancer. ISSN 0304-419X. 1879(2). doi: 10.1016/j.bbcan.2024.189080.
• Pavlović, Milena; al Hajj, Ghadi; Kanduri, Chakravarthi; Pensar, Johan; Wood, Mollie Elizabeth & Sollid, Ludvig Magne [Show all 8 contributors for this article] (2024). Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. Nature Machine Intelligence. 6(1), p. 15–24. doi: 10.1038/s42256-023-00781-8.
• Frederiksen, Rikki Franklin; Urdahl, Anne Margrete; Simm, Roger; Granstad, Silje; Slettemeås, Jannice Schau & Lagesen, Karin [Show all 7 contributors for this article] (2024). Polyether ionophore resistance in a one health perspective. Frontiers in Microbiology. ISSN 1664-302X. 15(1347490), p. 1–11. doi: 10.3389/fmicb.2024.1347490. Full text in Research Archive
• Rimehaug, Atle Eskeland; Dale, Anders M.; Arkhipov, Anton & Einevoll, Gaute Tomas (2024). Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis. bioRxiv. ISSN 2692-8205.
• Sæternes, Erik Hide; Thune, Andreas; Rustad, Alf Birger; Skeie, Tor & Cai, Xing (2024). Automated parameter tuning with accuracy control for efficient reservoir simulations. Journal of Computational Science. ISSN 1877-7503. 75. doi: 10.1016/j.jocs.2023.102205. Full text in Research Archive
• Shakibfar, Saeed; Zhao, Jing; Li, Huiqi; Nordeng, Hedvig Marie Egeland; Lupattelli, Angela & Pavlović, Milena [Show all 12 contributors for this article] (2023). Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study. Frontiers in Public Health. ISSN 2296-2565. 11. doi: 10.3389/fpubh.2023.1258840. Full text in Research Archive
• Ølnes, Åsa Schawlann; Teigen, Marianne; Lærdahl, Jon Kristen; Leren, Trond Paul; Strøm, Thea Bismo & Bjune, Katrine (2023). Variants in the CETP gene affect levels of HDL cholesterol by reducing the amount, and not the specific lipid transfer activity, of secreted CETP. PLOS ONE. ISSN 1932-6203. 18(12). doi: 10.1371/journal.pone.0294764. Full text in Research Archive
• Kanduri, Chakravarthi; Scheffer, Lonneke; Pavlović, Milena; Rand, Knut Dagestad; Chernigovskaia, Maria & Pirvandy, Oz [Show all 9 contributors for this article] (2023). simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods. GigaScience. ISSN 2047-217X. 12, p. 1–16. doi: 10.1093/gigascience/giad074. Full text in Research Archive
• Wæhler, Hallvard Austin; Labba, Nils-Anders Johannes; Paulsen, Ragnhild Elisabeth Heimtun; Sandve, Geir Kjetil Ferkingstad & Eskeland, Ragnhild (2023). ANDA: an open-source tool for automated image analysis of in vitro neuronal cells. BMC Neuroscience. ISSN 1471-2202. 24(1), p. 1–11. doi: 10.1186/s12868-023-00826-z.
• Høland, Maren; Berg, Kaja Christine Graue; Eilertsen, Ina Andrassy; Bjerkehagen, Bodil; Kolberg, Matthias & Pedersen, Kjetil Boye [Show all 16 contributors for this article] (2023). Transcriptomic subtyping of malignant peripheral nerve sheath tumours highlights immune signatures, genomic profiles, patient survival and therapeutic targets. EBioMedicine. ISSN 2352-3964. 97:104829, p. 1–17. doi: 10.1016/j.ebiom.2023.104829. Full text in Research Archive
• Strøm, Thea Bismo; Asprusten, Emil Andreas; Lærdahl, Jon Kristen; Øygard, Irene Waal; Hussain, M. Mahmood & Bogsrud, Martin Prøven [Show all 7 contributors for this article] (2023). Missense mutation Q384K in the APOB gene affecting the large lipid transfer module of apoB reduces the secretion of apoB-100 in the liver without reducing the secretion of apoB-48 in the intestine. Journal of Clinical Lipidology. ISSN 1933-2874. 17(6), p. 800–807. doi: 10.1016/j.jacl.2023.08.009. Full text in Research Archive
• Leich, E.; Brodtkorb, Marianne; Schmidt, T.; Altenbuchinger, M.; Lingjærde, Ole Christian & Lockmer, S. [Show all 14 contributors for this article] (2023). Gene expression and copy number profiling of follicular lymphoma biopsies from patients treated with first-line rituximab without chemotherapy. Leukemia and Lymphoma. ISSN 1042-8194. 64(12), p. 1927–1937. doi: 10.1080/10428194.2023.2240462.
• Rumbavicius, Ignas; Rounge, Trine Ballestad & Rognes, Torbjørn (2023). HoCoRT: host contamination removal tool. BMC Bioinformatics. ISSN 1471-2105. 24(1). doi: 10.1186/s12859-023-05492-w. Full text in Research Archive
• Shakibfar, Saeed; Nyberg, Fredrik; Li, Huiqi; Zhao, Jing; Nordeng, Hedvig Marie Egeland & Sandve, Geir Kjetil Ferkingstad [Show all 10 contributors for this article] (2023). Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review. Frontiers in Public Health. ISSN 2296-2565. 11. doi: 10.3389/fpubh.2023.1183725. Full text in Research Archive
• Kalyanasundaram, Sumana; Lefol, Yohan Pierre; Gundersen, Sveinung; Rognes, Torbjørn; Alsøe, Lene & Nilsen, Hilde [Show all 9 contributors for this article] (2023). hGSuite HyperBrowser: A web-based toolkit for hierarchical metadata-informed analysis of genomic tracks. PLOS ONE. ISSN 1932-6203. 18(7). doi: 10.1371/journal.pone.0286330. Full text in Research Archive
• Figlioli, Gisella; Billaud, Amandine; Ahearn, Thomas U.; Antonenkova, Natalia N.; Becher, Heiko & Beckmann, Matthias W. [Show all 114 contributors for this article] (2023). FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women. European Journal of Human Genetics. ISSN 1018-4813. 31(5), p. 578–587. doi: 10.1038/s41431-022-01257-w. Full text in Research Archive Show summary

  Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07–2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08–1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs

• Strømme, Jonas Meier; Johannessen, Bjarne & Skotheim, Rolf I. (2023). Deviating Alternative Splicing as a Molecular Subtype of Microsatellite Stable Colorectal Cancer. JCO Clinical Cancer Informatics. ISSN 2473-4276. 7. doi: 10.1200/CCI.22.00159. Full text in Research Archive
• Olstad, Emilie Willoch; Nordeng, Hedvig Marie Egeland; Sandve, Geir Kjetil Ferkingstad; Lyle, Robert & Gervin, Kristina (2023). Effects of prenatal exposure to (es)citalopram and maternal depression during pregnancy on DNA methylation and child neurodevelopment. Translational Psychiatry. ISSN 2158-3188. 13(1). doi: 10.1038/s41398-023-02441-2. Full text in Research Archive
• al Hajj, Ghadi; Pensar, Johan & Sandve, Geir Kjetil Ferkingstad (2023). DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation. PLOS ONE. ISSN 1932-6203. 18(4). doi: 10.1371/journal.pone.0284443. Full text in Research Archive
• Telle, Åshild; Trotter, James David; Cai, Xing; Finsberg, Henrik Nicolay Topnes; Kuchta, Miroslav & Sundnes, Joakim [Show all 7 contributors for this article] (2023). A cell-based framework for modeling cardiac mechanics. Biomechanics and Modeling in Mechanobiology. ISSN 1617-7959. 22, p. 515–539. doi: 10.1007/s10237-022-01660-8. Full text in Research Archive
• Isaksen, Kathrine Thuestad; Galleberg, Renate Berget; Mastroianni, Maria Adele; Rinde, Marit; Rusten, Leiv Sindre & Barzenje, Dlawer Abdulla [Show all 15 contributors for this article] (2023). The Geriatric Prognostic Index: a clinical prediction model for survival of older diffuse large B-cell lymphoma patients treated with standard immunochemotherapy. Haematologica. ISSN 0390-6078. 108(9), p. 2454–2466. doi: 10.3324/haematol.2022.282289. Full text in Research Archive Show summary

  The International prognostic Index (IPI) is the most widely used clinical prediction model for diffuse large B-cell lymphoma (DLBCL) patients treated with rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP), but may be suboptimal in older patients. We aimed to develop and externally validate a clinical prediction model for older, RCHOP- treated DLBCL patients by examining geriatric assessment and lymphoma-related parameters in real-world cohorts. A population-based training set of 365 R-CHOP-treated DLBCL patients ≥70 years was identified through the Cancer Registry of Norway. The external test set consisted of a population-based cohort of 193 patients. Data on candidate predictors were retrieved from the Cancer Registry and through review of clinical records. Cox regression models for 2-year overall survival were used for model selection. Activities of daily living, the Charlson Comorbidity Index, age, sex, albumin, stage, Eastern Cooperative Oncology Group performance status and lactate dehydrogenase level were identified as independent predictors and combined into a Geriatric Prognostic Index (GPI). The GPI demonstrated good discrimination (optimismcorrected C-index 0.752), and identified low-, intermediate- and high-risk groups with significantly different survivals (2- year overall survival, 94%, 65%, and 25%, respectively). At external validation, the continuous and grouped GPI demonstrated good discrimination (C-index 0.727 and 0.710, respectively) and the GPI groups had significantly different survivals (2-year overall survival 95%, 65%, and 44%, respectively). Both the continuous and grouped GPI showed better discrimination than the IPI, revised-IPI and National Comprehensive Cancer Network (NCCN)-IPI (C-index 0.621, 0.583, and 0.670, respectively). In conclusion, we have developed and externally validated a GPI for older DLBCL patients treated with R-CHOP that outperformed the IPI, revised-IPI and NCCN-IPI. A web-based calculator is available at https://wide.shinyapps. io/GPIcalculator/.

• Chlubnova, Marketa; Christophersen, Asbjørn Otto; Sandve, Geir Kjetil Ferkingstad; Lundin, Knut Erik Aslaksen; Jahnsen, Jørgen & Dahal-Koirala, Shiva [Show all 7 contributors for this article] (2023). Identification of gluten T cell epitopes driving celiac disease. Science Advances. ISSN 2375-2548. 9(4), p. 1–8. doi: 10.1126/sciadv.ade5800. Full text in Research Archive
• Avershina, Ekaterina; Frye, Stephan Alfons; Ali, Jawad; Taxt, Arne Michael & Ahmad, Rafi (2022). Ultrafast and Cost-Effective Pathogen Identification and Resistance Gene Detection in a Clinical Setting Using Nanopore Flongle Sequencing. Frontiers in Microbiology. ISSN 1664-302X. doi: 10.3389/fmicb.2022.822402.
• Rimehaug, Atle Eskeland; Stasik, Alexander Johannes; Hagen, Espen; Siegle, Joshua H.; Dai, Kael & Olsen, Shawn R. [Show all 9 contributors for this article] (2022). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. bioRxiv. ISSN 2692-8205. doi: 10.1101/2022.02.22.481540.
• Robert, Philippe Paul Auguste; Akbar, Rahmad; Frank, Robert; Pavlović, Milena; Widrich, Michael & Snapkov, Igor [Show all 25 contributors for this article] (2022). Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction. Nature Computational Science. ISSN 2662-8457. 2(12), p. 845–865. doi: 10.1038/s43588-022-00372-4.
• Rossini, Roberto; Kumar, Vipin; Mathelier, Anthony; Rognes, Torbjørn & Paulsen, Jonas (2022). MoDLE: high-performance stochastic modeling of DNA loop extrusion interactions. Genome Biology. ISSN 1465-6906. 23(1). doi: 10.1186/s13059-022-02815-7. Full text in Research Archive Show summary

  DNA loop extrusion emerges as a key process establishing genome structure and function. We introduce MoDLE, a computational tool for fast, stochastic modeling of molecular contacts from DNA loop extrusion capable of simulating realistic contact patterns genome wide in a few minutes. MoDLE accurately simulates contact maps in concordance with existing molecular dynamics approaches and with Micro-C data and does so orders of magnitude faster than existing approaches. MoDLE runs efficiently on machines ranging from laptops to high performance computing clusters and opens up for exploratory and predictive modeling of 3D genome structure in a wide range of settings.

• Castro Mondragon, Jaime Abraham; Aure, Miriam Ragle; Lingjærde, Ole Christian; Langerød, Anita; Martens, John WM & Børresen-Dale, Anne-Lise [Show all 8 contributors for this article] (2022). Cis-regulatory mutations associate with transcriptional and post-transcriptional deregulation of gene regulatory programs in cancers. Nucleic Acids Research (NAR). ISSN 0305-1048. 50(21), p. 12131–12148. doi: 10.1093/nar/gkac1143. Full text in Research Archive
• Høye, Eirik; Fromm, Bastian; Böttger, Paul H.M.; Domanska, Diana; Kristensen, Annette Torgunrud & Lund-Andersen, Christin [Show all 13 contributors for this article] (2022). A comprehensive framework for analysis of microRNA sequencing data in metastatic colorectal cancer. NAR Cancer. ISSN 2632-8674. 4(1), p. 1–13. doi: 10.1093/narcan/zcab051. Full text in Research Archive
• Grytten, Ivar; Rand, Knut Dagestad & Sandve, Geir Kjetil Ferkingstad (2022). KAGE: fast alignment-free graph-based genotyping of SNPs and short indels. Genome Biology. ISSN 1465-6906. 23(1). doi: 10.1186/s13059-022-02771-2.
• Weber, Cédric R.; Rubio, Teresa; Wang, Longlong; Zhang, Wei; Robert, Philippe Paul Auguste & Akbar, Rahmad [Show all 15 contributors for this article] (2022). Reference-based comparison of adaptive immune receptor repertoires. Cell Reports Methods. 2(8). doi: 10.1016/j.crmeth.2022.100269. Full text in Research Archive
• Carm, Kristina Totland; Johannessen, Bjarne; Bogaard, Mari; Bakken, Anne Cathrine; Maltau, Aase Margrethe Victoria & Hoff, Andreas Midbøe [Show all 10 contributors for this article] (2022). Somatic mutations reveal complex metastatic seeding from multifocal primary prostate cancer. International Journal of Cancer. ISSN 0020-7136. 152(5), p. 945–951. doi: 10.1002/ijc.34226. Full text in Research Archive
• Alver, Tine Norman; Heintz, Karen Marie; Hovig, Eivind & Bøe, Sigurd (2022). Cooperative induction of receptor tyrosine kinases contributes to adaptive MAPK drug resistance in melanoma through the PI3K pathway. Cancer Reports. ISSN 2573-8348. doi: 10.1002/cnr2.1736. Full text in Research Archive Show summary

  emurafenib-induced drug resistance in melanoma has been linked to receptor tyrosinekinase (RTK) upregulation. The MITF and SOX10 genes play roles as master regulators ofmelanocyte and melanoma development. Here, we aimed to explore the complex mecha-nisms behind the MITF/SOX10-controlled RTK-induced drug resistance in melanoma. Toachieve this, we used a number of molecular techniques, including melanoma patient datafrom TCGA, vemurafenib-resistant melanoma cell lines, and knock-down studies. The mel-anoma cell lines were classified as proliferative or invasive based upon their MITF/AXLexpression activity. We measured the changeof expression activity for MITF/SOX10 andtheir receptor (AXL/ERBB3) and ligand (NRG1/GAS6) targets known to be involved inRTK-induced drug resistance after vemurafenib treatment. We find that melanoma celllines characterized as proliferative (high MITF low AXL), transform into an invasive (lowMITF, high AXL) cell state after vemurafenibresistance, indicating novel feedback loopsand advanced compensatory regulation mechanisms between the master regulators,receptors, and ligands involved in vemurafenib-induced resistance. Together, our data dis-close fine-tuned mechanisms involved in RTK-facilitated vemurafenibresistance that willbe challenging to overcome by using single drug targeting strategies against melanoma.

• Hustad, Kristian Gregorius & Cai, Xing (2022). Resource-Efficient Use of Modern Processor Architectures For Numerically Solving Cardiac Ionic Cell Models. Frontiers in Physiology. ISSN 1664-042X. 13. doi: 10.3389/fphys.2022.904648. Full text in Research Archive
• Khadse, Anand; Haakensen, Vilde Drageset; Silwal-Pandit, Laxmi; Hamfjord, Julian; Micke, Patrick & Botling, Johan [Show all 10 contributors for this article] (2022). Prognostic Significance of the Loss of Heterozygosity of KRAS in Early-Stage Lung Adenocarcinoma. Frontiers in Oncology. ISSN 2234-943X. 12. doi: 10.3389/fonc.2022.873532. Show summary

  Lung cancer is a common disease with a poor prognosis. Genomic alterations involving the KRAS gene are common in lung carcinomas, although much is unknown about how different mutations, deletions, and expressions influence the disease course. The first approval of a KRAS-directed inhibitor was recently approved by the FDA. Mutations in the KRAS gene have been associated with poor prognosis for lung adenocarcinomas, but implications of the loss of heterozygosity (LOH) of KRAS have not been investigated. In this study, we have assessed the LOH of KRAS in early-stage lung adenocarcinoma by analyzing DNA copy number profiles and have investigated the effect on patient outcome in association with mRNA expression and somatic hotspot mutations. KRAS mutation was present in 36% of cases and was associated with elevated mRNA expression. LOH in KRAS was associated with a favorable prognosis, more prominently in KRAS mutated than in wild-type patients. The presence of both LOH and mutation in KRAS conferred a better prognosis than KRAS mutation alone. For wild-type tumors, no difference in prognosis was observed between patients with and without LOH in KRAS. Our study indicates that LOH in KRAS is an independent prognostic factor that may refine the existing prognostic groups of lung adenocarcinomas.

• Kidd, Susanne Gundersen; Bogaard, Mari; Carm, Kristina Totland; Bakken, Anne Cathrine; Maltau, Aase Margrethe Victoria & Løvf, Marthe [Show all 10 contributors for this article] (2022). In situ expression of ERG protein in the context of tumor heterogeneity identifies prostate cancer patients with inferior prognosis. Molecular Oncology. ISSN 1574-7891. 16(15), p. 2810–2822. doi: 10.1002/1878-0261.13225. Full text in Research Archive
• Bahrami, Shahram; Nordengen, Kaja; Shadrin, Alexey; Frei, Oleksandr; van der Meer, Dennis & Dale, Anders [Show all 9 contributors for this article] (2022). Distributed genetic architecture across the hippocampal formation implies common neuropathology across brain disorders. Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-31086-w. Full text in Research Archive
• Bjørklund, Sunniva; Aure, Miriam Ragle; Häkkinen, Jari; Vallon-Christersson, Johan; Kumar, Surendra & Bull Evensen, Katrine [Show all 34 contributors for this article] (2022). Subtype and cell type specific expression of lncRNAs provide insight into breast cancer. Communications Biology. ISSN 2399-3642. 5(1), p. 1–14. doi: 10.1038/s42003-022-03559-7. Full text in Research Archive
• Burton, Joshua; Wojewodzic, Marcin Wlodzimierz; Rounge, Trine Ballestad & Haugen, Trine B. (2022). A Role of the TEX101 Interactome in the Common Aetiology Behind Male Subfertility and Testicular Germ Cell Tumor. Frontiers in Oncology. ISSN 2234-943X. 12. doi: 10.3389/fonc.2022.892043. Full text in Research Archive Show summary

  Patients who develop testicular germ cell tumours (TGCT) are at higher risk to be subfertile than the general population. The conditions are believed to originate during foetal life, however, the mechanisms behind a common aetiology of TGCT and male subfertility remains unknown. Testis-expressed 101 (TEX101) is a glycoprotein that is related to male fertility, and downregulation of the TEX101 gene was shown in pre-diagnostic TGCT patients. In this review, we summarize the current knowledge of TEX101 and its interactome related to fertility and TGCT development. We searched literature and compilation of data from curated databases. There are studies from both human and animals showing that disruption of TEX101 result in abnormal semen parameters and sperm function. Members of the TEX101 interactome, like SPATA19, Ly6k, PICK1, and ODF genes are important for normal sperm function. We found only two studies of TEX101 related to TGCT, however, several genes in its interactome may be associated with TGCT development, such as PLAUR, PRSS21, CD109, and ALP1. Some of the interactome members are related to both fertility and cancer. Of special interest is the presence of the glycosylphosphatidylinositol anchored proteins TEX101 and PRSS21 in basophils that may be coupled to the immune response preventing further development of TGCT precursor cells. The findings of this review indicate that members of the TEX101 interactome could be a part of the link between TGCT and male subfertility.

• Lobert, Viola; Skardal, Maren; Malerød, Lene; Simensen, Julie Elisabeth; Algra, Hermine Arida & Andersen, Aram Nikolai [Show all 12 contributors for this article] (2022). PHLPP1 regulates CFTR activity and lumen expansion through AMPK. Development. ISSN 0950-1991. 149(20), p. 1–10. doi: 10.1242/dev.200955. Full text in Research Archive Show summary

  Complex organ development depends on single lumen formation and its expansion during tubulogenesis. This can be achieved by correct mitotic spindle orientation during cell division, combined with luminal fluid filling that generates hydrostatic pressure. Using a human 3D cell culture model, we have identified two regulators of these processes. We find that pleckstrin homology leucine-rich repeat protein phosphatase (PHLPP) 2 regulates mitotic spindle orientation, and thereby midbody positioning and maintenance of a single lumen. Silencing the sole PHLPP family phosphatase in Drosophila melanogaster, phlpp, resulted in defective spindle orientation in Drosophila neuroblasts. Importantly, cystic fibrosis transmembrane conductance regulator (CFTR) is the main channel regulating fluid transport in this system, stimulated by phosphorylation by protein kinase A and inhibited by the AMP-activated protein kinase AMPK. During lumen expansion, CFTR remains open through the action of PHLPP1, which stops activated AMPK from inhibiting ion transport through CFTR. In the absence of PHLPP1, the restraint on AMPK activity is lost and this tips the balance in the favour of channel closing, resulting in the lack of lumen expansion and accumulation of mucus.

• Trotter, James David; Cai, Xing & Funke, Simon Wolfgang (2022). On Memory Traffic and Optimisations for Low-order Finite Element Assembly Algorithms on Multi-core CPUs. ACM Transactions on Mathematical Software. ISSN 0098-3500. 48(2), p. 1–31. doi: 10.1145/3503925. Full text in Research Archive
• Balaban, Gabriel; Halliday, Brian P.; Hammersley, Daniel; Rinaldi, Christopher A.; Prasad, Sanjay K. & Bishop, Martin J. [Show all 7 contributors for this article] (2022). Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy. Europace. ISSN 1099-5129. 24(7), p. 1137–1147. doi: 10.1093/europace/euab306. Full text in Research Archive
• Olstad, Emilie Willoch; Nordeng, Hedvig Marie Egeland; Sandve, Geir Kjetil Ferkingstad; Lyle, Robert & Gervin, Kristina (2022). Low reliability of DNA methylation across Illumina Infinium platforms in cord blood: implications for replication studies and meta-analyses of prenatal exposures. Clinical Epigenetics. ISSN 1868-7075. 14(1). doi: 10.1186/s13148-022-01299-3. Full text in Research Archive Show summary

  Background: There is an increasing interest in the role of epigenetics in epidemiology, but the emerging research feld faces several critical biological and technical challenges. In particular, recent studies have shown poor correlation of measured DNA methylation (DNAm) levels within and across Illumina Infnium platforms in various tissues. In this study, we have investigated concordance between 450 k and EPIC Infnium platforms in cord blood. We could not replicate our previous fndings on the association of prenatal paracetamol exposure with cord blood DNAm, which prompted an investigation of cross-platform DNAm diferences. Results: This study is based on two DNAm data sets from cord blood samples selected from the Norwegian Mother, Father and Child Cohort Study (MoBa). DNAm of one data set was measured using the 450 k platform and the other data set was measured using the EPIC platform. Initial analyses of the EPIC data could not replicate any of our previous signifcant fndings in the 450 k data on associations between prenatal paracetamol exposure and cord blood DNAm. A subset of the samples (n=17) was included in both data sets, which enabled analyses of technical sources potentially contributing to the negative replication. Analyses of these 17 samples with repeated measurements revealed high per-sample correlations (−R ≈0.99), but low per-CpG correlations (−R≈0.24) between the platforms. 1.7% of the CpGs exhibited a mean DNAm diference across platforms >0.1. Furthermore, only 26.7% of the CpGs exhibited a moderate or better cross-platform reliability (intra-class correlation coefcient ≥0.5). Conclusion: The observations of low cross-platform probe correlation and reliability corroborate previous reports in other tissues. Our study cannot determine the origin of the diferences between platforms. Nevertheless, it emulates the setting in studies using data from multiple Infnium platforms, often analysed several years apart. Therefore, the fndings may have important implications for future epigenome-wide association studies (EWASs), in replication, meta-analyses and longitudinal studies. Cognisance and transparency of the challenges related to cross-platform studies may enhance the interpretation, replicability and validity of EWAS results both in cord blood and other tissues, ultimately improving the clinical relevance of epigenetic epidemiology.

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• Alexandrov, Ludmil B.; Kim, Jaegil; Haradhvala, Nicholas J.; Huang, Mi Ni; Tian Ng, Alvin Wei & Wu, Yang [Show all 1,383 contributors for this article] (2023). Author Correction: The repertoire of mutational signatures in human cancer (Nature, (2020), 578, 7793, (94-101), 10.1038/s41586-020-1943-3). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05600-5.
• Dæhlen, Morten; Sandve, Geir Kjetil Ferkingstad & Braa, Kristin (2023). KI-milliarden må brukes på en rettferdig grønn og digital omstilling. Khrono.no. ISSN 1894-8995.
• Calabrese, Claudia; Davidson, Natalie R.; Demircioğlu, Deniz; Fonseca, Nuno A.; He, Yao & Kahles, André [Show all 1,459 contributors for this article] (2023). Author Correction: Genomic basis for RNA alterations in cancer (Nature, (2020), 578, 7793, (129-136), 10.1038/s41586-020-1970-0). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05596-y.
• Rheinbay, Esther; Nielsen, Morten Muhlig; Abascal, Federico; Wala, Jeremiah A.; Shapira, Ofer & Tiao, Grace [Show all 1,616 contributors for this article] (2023). Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (Nature, (2020), 578, 7793, (102-111), 10.1038/s41586-020-1965-x). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05599-9.
• Yakneen, Sergei; Waszak, Sebastian Martin; Aminou, Brice; Bartolome, Javier; Boroevich, Keith A. & Boyce, Rich [Show all 1,439 contributors for this article] (2023). Author Correction: Butler enables rapid cloud-based analysis of thousands of human genomes (Nature Biotechnology, (2020), 38, 3, (288-292), 10.1038/s41587-019-0360-3). Nature Biotechnology. ISSN 1087-0156. 41(4). doi: 10.1038/s41587-022-01554-1.
• Gulla, Snorre; Sveinsson, Karoline Overn; Spilsberg, Bjørn; Benedicenti, Ottavia; Kuiper, Raoul Valentin & Olsen, Anne Berit [Show all 9 contributors for this article] (2023). Sårbakterier hos laks – spesialiserte inntrengere eller tilfeldig forbipasserende? Norsk Fiskeoppdrett. ISSN 0332-7132. 11, p. 44–46.
• Li, Yilong; Roberts, Nicola D.; Wala, Jeremiah A.; Shapira, Ofer; Schumacher, Steven E. & Kumar, Kiran [Show all 1,410 contributors for this article] (2023). Author Correction: Patterns of somatic structural variation in human cancer genomes (Nature, (2020), 578, 7793, (112-121), 10.1038/s41586-019-1913-9). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05597-x.
• Gerstung, Moritz; Jolly, Clemency; Leshchiner, Ignaty; Dentro, Stefan C.; Gonzalez, Santiago & Rosebrock, Daniel [Show all 1,440 contributors for this article] (2023). Author Correction: The evolutionary history of 2,658 cancers (Nature, (2020), 578, 7793, (122-128), 10.1038/s41586-019-1907-7). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05601-4.
• Yuan, Yuan; Ju, Young Seok; Kim, Youngwook; Li, Jun; Wang, Yumeng & Yoon, Christopher J. [Show all 1,340 contributors for this article] (2023). Author Correction: Comprehensive molecular characterization of mitochondrial genomes in human cancers (Nature Genetics, (2020), 52, 3, (342-352), 10.1038/s41588-019-0557-x). Nature Genetics. ISSN 1061-4036. 55(5). doi: 10.1038/s41588-020-0629-y.
• Yuan, Yuan; Ju, Young Seok; Kim, Youngwook; Li, Jun; Wang, Yumeng & Yoon, Christopher J. [Show all 1,339 contributors for this article] (2023). Publisher Correction: Comprehensive molecular characterization of mitochondrial genomes in human cancers (Nature Genetics, (2020), 52, 3, (342-352), 10.1038/s41588-019-0557-x). Nature Genetics. ISSN 1061-4036. 55(5). doi: 10.1038/s41588-020-0587-4.
• Cai, Xing (2023). Quality control and innovation in computing and networking using the eX3 testbed.
• Cai, Xing (2023). Towards high-performance unstructured-mesh computations.
• Sandve, Geir Kjetil Ferkingstad (2023). Hvorfor er maskinlæring viktig i medisin?
• Sandve, Geir Kjetil Ferkingstad (2023). Deciphering how adaptive immune cells recognise pathogens: gathering suited data, defining appropriate assessments and incrementally improving machine learning methodology.
• Bruaset, Are Magnus; Cai, Xing; Desprez, Frédéric & Parsons, Mark (2023). Editorial: Heterogeneous computing in physics-based models. Frontiers in Physics. ISSN 2296-424X. 11. doi: 10.3389/fphy.2023.1320450.
• Rodriguez-Martin, Bernardo; Alvarez, Eva G.; Baez-Ortega, Adrian; Zamora, Jorge; Supek, Fran & Demeulemeester, Jonas [Show all 1,445 contributors for this article] (2023). Author Correction: Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition (Nature Genetics, (2020), 52, 3, (306-319), 10.1038/s41588-019-0562-0). Nature Genetics. ISSN 1061-4036. 55(6). doi: 10.1038/s41588-023-01319-9.
• Akdemir, Kadir C.; Le, Victoria T.; Chandran, Sahaana; Li, Yilong; Verhaak, Roel G. & Beroukhim, Rameen [Show all 1,405 contributors for this article] (2023). Author Correction: Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (Nature Genetics, (2020), 52, 3, (294-305), 10.1038/s41588-019-0564-y). Nature Genetics. ISSN 1061-4036. 55(6). doi: 10.1038/s41588-023-01318-w.
• Yuan, Yuan; Ju, Young Seok; Kim, Youngwook; Li, Jun; Wang, Yumeng & Yoon, Christopher J. [Show all 1,340 contributors for this article] (2023). Author Correction: Comprehensive molecular characterization of mitochondrial genomes in human cancers (Nature Genetics, (2020), 52, 3, (342-352), 10.1038/s41588-019-0557-x). Nature Genetics. ISSN 1061-4036. 55(6). doi: 10.1038/s41588-023-01317-x.
• Cortés-Ciriano, Isidro; Lee, Jake June-Koo; Xi, Ruibin; Jain, Dhawal; Jung, Youngsook L. & Yang, Lixing [Show all 1,402 contributors for this article] (2023). Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing (Nature Genetics, (2020), 52, 3, (331-341), 10.1038/s41588-019-0576-7). Nature Genetics. ISSN 1061-4036. 55(6). doi: 10.1038/s41588-023-01315-z.
• Zapatka, Marc; Borozan, Ivan; Brewer, Daniel S.; Iskar, Murat; Grundhoff, Adam & Alawi, Malik [Show all 1,354 contributors for this article] (2023). Author Correction: The landscape of viral associations in human cancers (Nature Genetics, (2020), 52, 3, (320-330), 10.1038/s41588-019-0558-9). Nature Genetics. ISSN 1061-4036. 55(6). doi: 10.1038/s41588-023-01316-y.
• Liland, Kristian Hovde; Tomic, Oliver; Indahl, Ulf Geir; Futsæther, Cecilia Marie; Jiao, Lei & Granmo, Ole-Christoffer [Show all 7 contributors for this article] (2023). Tsetlin Machine in DNA sequence classification. Show summary

  The Tsetlin machine (TM) is a logic-based machine learning model with the crucial advantages of transparency and hardware-friendliness. In TM, groups of Tsetlin Automata (TAs) produce Boolean expressions in the form of conjunctive clauses in AND-rules. In this work, we show that the DNA nucleotide sequence, coded using the four-letter alphabet A, C, G, T, is a perfect match to the Boolean logic-based TM. A coalesced integer-weighted TM is applied to the problem of prokaryote gene prediction demonstrating beyond state-of-the-art performance on reference genomes. This paves the way for highly efficient bioinformatic analysis in a large range of applications.

• Vu, Mai Ha; Akbar, Rahmad; Robert, Philippe; Sandve, Geir Kjetil Ferkingstad; Haug, Dag Trygve Truslew & Greiff, Victor (2023). Linguistically inspired roadmap for building biologically reliable protein language models. Nature Machine Intelligence. 5(5), p. 485–496. doi: 10.1038/s42256-023-00637-1.
• Aaltonen, Lauri A.; Abascal, Federico; Abeshouse, Adam; Aburatani, Hiroyuki; Adams, David J. & Agrawal, Nishant [Show all 1,324 contributors for this article] (2023). Author Correction: Pan-cancer analysis of whole genomes (Nature, (2020), 578, 7793, (82-93), 10.1038/s41586-020-1969-6). Nature. ISSN 0028-0836. 614(7948). doi: 10.1038/s41586-022-05598-w.
• Avershina, Ekaterina; Birkeland, Einar Elvbakken; Berstad, Paula; Hoff, Geir Svein & Rounge, Trine Ballestad (2022). Total neoplastic polyp volume is correlated to several bacterial taxa in faecal immunochemical test-positive CRC-screening participants.
• Avershina, Ekaterina; Birkeland, Einar Elvbakken; Berstad, Paula; Hoff, Geir Svein & Rounge, Trine Ballestad (2022). Total neoplastic polyp volume is correlated to several bacterial taxa in faecal immunochemical test-positive CRC-screening participants.
• Birkeland, Einar Elvbakken; Kværner, Ane Sørlie; Istvan, Paula; Bermanian, Vahid; Bucher-Johannessen, Cecilie & Avershina, Ekaterina [Show all 9 contributors for this article] (2022). The microbiome in fecal immunochemical tests from colorectal cancer screening participants – can it be used as a screening biomarker?
• Rimehaug, Atle Eskeland; Stasik, Alexander Johannes; Hagen, Espen; Billeh, Yazan; Siegle, Joshua H. & Dai, Kael [Show all 10 contributors for this article] (2022). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex.
• Shuai, Shimin; Abascal, Federico; Amin, Samirkumar B.; Bader, Gary D.; Bandopadhayay, Pratiti & Barenboim, Jonathan [Show all 1,455 contributors for this article] (2022). Author Correction: Combined burden and functional impact tests for cancer driver discovery using DriverPower (Nature Communications, (2020), 11, 1, (734), 10.1038/s41467-019-13929-1). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32343-8.
• Dance, Amber; Sandve, Geir Kjetil Ferkingstad; Morris, Samantha; Saez-Rodriguez, Julio; Heyn, Holger & Levin, Joshua (2022). Which single-cell analysis tool is best? Scientists offer advice. Nature. ISSN 0028-0836. doi: 10.1038/d41586-022-04426-5.
• Paczkowska, Marta; Barenboim, Jonathan; Sintupisut, Nardnisa; Fox, Natalie S.; Zhu, Helen & Abd-Rabbo, Diala [Show all 1,459 contributors for this article] (2022). Author Correction: Integrative pathway enrichment analysis of multivariate omics data (Nature Communications, (2020), 11, 1, (735), 10.1038/s41467-019-13983-9). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32342-9.
• Sandve, Geir Kjetil Ferkingstad & Pensar, Johan (2022). Machine Learning and Causality.
• Zhang, Yiqun; Chen, Fengju; Fonseca, Nuno A.; He, Yao; Fujita, Masashi & Nakagawa, Hidewaki [Show all 1,480 contributors for this article] (2022). Author Correction: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations (Nature Communications, (2020), 11, 1, (736), 10.1038/s41467-019-13885-w). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32333-w.
• Cmero, Marek; Yuan, Ke; Ong, Cheng Soon; Schröder, Jan; Adams, David J. & Anur, Pavana [Show all 1,399 contributors for this article] (2022). Author Correction: Inferring structural variant cancer cell fraction (Nature Communications, (2020), 11, 1, (730), 10.1038/s41467-020-14351-8). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32338-5.
• Jiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin & Al-Shahrour, Fatima [Show all 1,385 contributors for this article] (2022). Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns (Nature Communications, (2020), 11, 1, (728), 10.1038/s41467-019-13825-8). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32329-6.
• Sieverling, Lina; Hong, Chen; Koser, Sandra D.; Ginsbach, Philip; Kleinheinz, Kortine & Hutter, Barbara [Show all 1,413 contributors for this article] (2022). Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Nature Communications, (2020), 11, 1, (733), 10.1038/s41467-019-13824-9). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32328-7.
• Bhandari, Vinayak; Li, Constance H.; Bristow, Robert G.; Boutros, Paul C.; Aaltonen, Lauri A. & Abascal, Federico [Show all 1,328 contributors for this article] (2022). Author Correction: Divergent mutational processes distinguish hypoxic and normoxic tumours (Nature Communications, (2020), 11, 1, (737), 10.1038/s41467-019-14052-x). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32339-4.
• Reyna, Matthew A.; Haan, David; Paczkowska, Marta; Verbeke, Lieven P. C.; Vazquez Garcia, Miguel & Kahraman, Abdullah [Show all 1,453 contributors for this article] (2022). Author Correction: Pathway and network analysis of more than 2500 whole cancer genomes (Nature Communications, (2020), 11, 1, (729), 10.1038/s41467-020-14367-0). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32334-9.
• Rubanova, Yulia; Shi, Ruian; Harrigan, Caitlin F.; Li, Roujia; Wintersinger, Jeff & Sahin, Nil [Show all 1,402 contributors for this article] (2022). Author Correction: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig (Nature Communications, (2020), 11, 1, (731), 10.1038/s41467-020-14352-7). Nature Communications. ISSN 2041-1723. 13(1). doi: 10.1038/s41467-022-32336-7.
• Ferenc, Katalin Terezia; Mathelier, Anthony; Hsieh, Ping-Han & Sandve, Geir Kjetil Ferkingstad (2022). Method development for the identification of cis-regulatory signatures of cell types.
• Ferenc, Katalin Terezia; Hsieh, Ping-Han; Mathelier, Anthony & Sandve, Geir Kjetil Ferkingstad (2022). Method development for the identification of cis-regulatory signatures of cell types.
• Ferenc, Katalin Terezia; Hsieh, Ping-Han; Mathelier, Anthony & Sandve, Geir Kjetil Ferkingstad (2022). Method development for the identification of cis-regulatory signatures of cell types.
• Thon, Sarah Kriebel; Christensen, Ane Charlotte; Fjeldstad, Maria P; Schøyen, Vemund Sigmundson; Olsen, Elise Reppe & Lepperød, Mikkel Elle [Show all 8 contributors for this article] (2022). Social and spatial codes in hippocampus CA2 and entorhinal cortex.
• Doeland, Elin Martine; Sandve, Geir Kjetil Ferkingstad & Greiff, Victor (2022). Immunforsvaret har skjulte mønstre om sykdom og infeksjoner. Forskning.no. ISSN 1891-635X.
• Torgersen, Eivind; Geir Kjetil, Sandve; Greiff, Victor; Pavlovic, Milena & Scheffer, Lonneke (2022). Fra bare én blodprøve kan kunstig intelligens gi diagnose for mange ulike sykdommer. Titan.uio.no.
• Sandve, Geir Kjetil Ferkingstad (2022). Det inspirerende og frustrerende ved at programmering er en kreativ prosess.
• Sandve, Geir Kjetil Ferkingstad (2022). Kunstig intelligens viser oss hva immunforsvaret jobber med.
• Sandve, Geir Kjetil Ferkingstad (2022). Are quick and dirty programming habits sufficient in science - and do we at all need to consider code quality in science education?
• Sandve, Geir Kjetil Ferkingstad (2022). How the choice of programming language matters when learning programming - Python, Java, R and more .
• Sandve, Geir Kjetil Ferkingstad; Greiff, Victor; Haff, Ingrid Hobæk & Vu, Mai Ha (2022). Deciphering the Immune System Through Linguistics-Inspired Statistical Machine Learning.
• Sandve, Geir Kjetil Ferkingstad & Greiff, Victor (2022). Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking. Bioinformatics. ISSN 1367-4803. 38(21), p. 4994–4996. doi: 10.1093/bioinformatics/btac612. Full text in Research Archive

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