Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
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| Title: | Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer. |
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| Authors: | Razavi-Mohseni M; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA., Huang W; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Guo YA; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Shigaki D; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA., Ho SWT; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Tan P; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.; Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 169857.; Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599.; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593., Skanderup AJ; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Beer MA; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; mbeer@jhu.edu skanderupamj@gis.a-star.edu.sg. |
| Source: | Genome research [Genome Res] 2024 Jun 25; Vol. 34 (5), pp. 680-695. Date of Electronic Publication: 2024 Jun 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Cold Spring Harbor Laboratory Press Country of Publication: United States NLM ID: 9518021 Publication Model: Electronic Cited Medium: Internet ISSN: 1549-5469 (Electronic) Linking ISSN: 10889051 NLM ISO Abbreviation: Genome Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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