| Using Multiple Instance Learning to find patterns in Immune Receptor Sequences |
5. okt. 2021 |
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| Bioinformatics: Predicting enhancer-promoter links from cancer transcriptomics data with network science |
1. okt. 2021 |
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| Bioinformatics: Developing molecular dynamics tools to understand DNA 3D organization |
28. sep. 2021 |
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| Bioinformatics: Simulating the motion of genes |
28. sep. 2021 |
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| Bioinformatics: Network analysis of the 3D genome |
28. sep. 2021 |
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| Bioinformatics: Model the 3D genome of your favorite organism |
28. sep. 2021 |
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| Develop machine learning methodology/software to tackle distributional shifts between training and deployment domains |
24. sep. 2021 |
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| Developing a software tool to assess the similarity of simulated data and real-world data for evaluating the performance of machine learning methods. |
24. sep. 2021 |
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| Developing machine learning methodology/software to better understand how the size of available training data affects prediction performance in real-world settings |
24. sep. 2021 |
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| Develop improved segmentation algorithms |
14. okt. 2020 |
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| Develop novel visualisations of genomic rearrangements in cancer |
14. okt. 2020 |
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| Bioinformatics: Associating gene regulatory networks with 3D genome information |
3. feb. 2020 |
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| Optimal analysis of microbiome sequencing data in clinical medicine |
25. sep. 2018 |
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| Detecting transcription regulatory networks in cancer |
24. sep. 2018 |
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| Clustering cancer omics data with NMF |
24. sep. 2018 |
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