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Sparse dictionary learning recovers pleiotropy from human cell fitness screens.

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第一作者： Joshua,Pan

第一单位： Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02215, USA.

作者： Joshua,Pan ^[1] ; Jason J,Kwon ^[1] ; Jessica A,Talamas ^[1] ; Ashir A,Borah ^[2] ; Francisca,Vazquez ^[2] ; Jesse S,Boehm ^[2] ; Aviad,Tsherniak ^[2] ; Marinka,Zitnik ^[3] ; James M,McFarland ^[2] ; William C,Hahn ^[4]

作者单位： Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02215, USA. ^[1] Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ^[2] Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Department of Biomedical Informatics, Boston, MA 02215, USA; Harvard University, Data Science Initiative, Cambridge, MA 02138, USA. ^[3] Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02215, USA; Brigham and Women's Hospital and Harvard Medical School, Department of Medicine, Boston, MA 02215, USA. Electronic address: william_hahn@dfci.harvard.edu. ^[4]

关键词 CRISPR-Cas9 compound mechanism of action dictionary learning gene function genetic networks matrix factorization pleiotropy representation learning sparse approximation

医学主题词基因组学(Genomics);人类(Humans)

DOI 10.1016/j.cels.2021.12.005

PMID 35085500

发布时间 2024-09-23

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