| Developing a pipeline for deep analyses of cancer-causing bacterial genes from metagenome data |
Sep. 12, 2019 |
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| Building epigenetic clocks for estimating aging in life after cancer |
Sep. 12, 2019 |
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| Benchmarking of RNA-RNA interaction algorithms |
Sep. 12, 2019 |
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| Integrating different types of sequencing data with applications in cancer medicine |
Nov. 9, 2018 |
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| Optimal analysis of microbiome sequencing data in clinical medicine |
Sep. 25, 2018 |
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| Taxonomic classification of microbes based on DNA barcodes using machine learning |
Sep. 25, 2018 |
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| How many DNA copies are there? |
Sep. 24, 2018 |
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| Detecting transcription regulatory networks in cancer |
Sep. 24, 2018 |
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| Clustering cancer omics data with NMF |
Sep. 24, 2018 |
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| Aiming at heterogeneous parallel computing: To overlap or not to overlap? |
Sep. 20, 2018 |
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| Computational understanding of the immune response to disease |
Sep. 30, 2014 |
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Eivind Hovig,
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Oddmund Bakke,
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Trevor Clancy <Trevor.Clancy@rr-research.no>
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| Social network of the cell |
Sep. 19, 2013 |
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| Large-scale Bayesian networks |
Oct. 19, 2011 |
|