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Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight.

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Title: Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight.
Authors: Nourbakhsh M; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark., Zheng Y; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America., Noor H; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America., Chen H; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Akhuli S; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Tiberti M; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark., Gevaert O; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America., Papaleo E; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Apr 21; Vol. 21 (4), pp. e1012999. Date of Electronic Publication: 2025 Apr 21 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Nourbakhsh+M%22">Nourbakhsh M</searchLink>; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Zheng+Y%22">Zheng Y</searchLink>; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Noor+H%22">Noor H</searchLink>; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Chen+H%22">Chen H</searchLink>; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Akhuli+S%22">Akhuli S</searchLink>; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Tiberti+M%22">Tiberti M</searchLink>; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Gevaert+O%22">Gevaert O</searchLink>; Department of Biomedical Data Science, Stanford Center for Biomedical Informatics Research, Palo Alto, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Papaleo+E%22">Papaleo E</searchLink>; Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
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              Text: 2025 Apr 21
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