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Detecting Statistically Significant Common Insertion Sites in Retroviral Insertional Mutagenesis Screens.

, , , , and . PLoS Comput. Biol., (2006)

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Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes., , , , , and . ISMB/ECCB (Supplement of Bioinformatics), page 133-141. (2007)FERAL: network-based classifier with application to breast cancer outcome prediction., and . Bioinform., 31 (12): 311-319 (2015)Highlights from the 5th International Society for Computational Biology Student Council Symposium at the 17th Annual International Conference on Intelligent Systems for Molecular Biology and the 8th European Conference on Computational Biology., , and . BMC Bioinform., 10 (S-13): 0 (2009)Inferring combinatorial association logic networks in multimodal genome-wide screens., , , , , and . Bioinform., 26 (12): 149-157 (2010)The Young PI Buzz: Learning from the Organizers of the Junior Principal Investigator Meeting at ISMB-ECCB 2013., , , , , , and . PLoS Comput. Biol., (2013)Detecting Statistically Significant Common Insertion Sites in Retroviral Insertional Mutagenesis Screens., , , , and . PLoS Comput. Biol., (2006)12 Grand Challenges in Single-Cell Data Science., , , , , , , , , and 41 other author(s). PeerJ Prepr., (2019)A data-driven interactome of synergistic genes improves network-based cancer outcome prediction., , and . PLoS Comput. Biol., (2019)Reconstructing design, explaining artifacts: philosophical reflections on the design and explanation of technical artifacts. TU Delft, (2007)Computational approaches for dissecting cancer pathways from insertional mutagenesis data.. Delft University of Technology, Netherlands, (2011)base-search.net (fttudelft:oai:tudelft.nl:uuid:b7cc3811-2413-42d7-b33f-d20209bb040d).