Functional modules predict cancer-relevant genetic interactions in mammalian cells.

Saved in:
Bibliographic Details
Title: Functional modules predict cancer-relevant genetic interactions in mammalian cells.
Authors: Lin C; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Gheorghe V; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Chou J; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; MD Anderson/UT Health Graduate School of Biomedical Sciences, Houston, TX, USA., Alibai S; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Kim S; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; MD Anderson/UT Health Graduate School of Biomedical Sciences, Houston, TX, USA., Nazanin EA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Xu Y; Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX USA., Ma X; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Wilson LL; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Moser RD; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA., Kemp CJ; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA., Chen J; Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Kopetz S; Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX USA., Hart T; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Dec 21. Date of Electronic Publication: 2025 Dec 21.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.64898/2025.12.18.695201