Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration

Nature Communications

Volumn 9, Issue 1, 2018, Pages

  McFarland, James M ^a   Ho, Zandra V ^a   Kugener, Guillaume ^a   Dempster, Joshua M ^a   Montgomery, Phillip G ^a   Bryan, Jordan G ^a   Krill Burger, John M ^a   Green, Thomas M ^a   Vazquez, Francisca ^a,b   Boehm, Jesse S ^a   Golub, Todd R ^a,b,c,d,e   Hahn, William C ^a,b,c,f   Root, David E ^a   Tsherniak, Aviad ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d BOSTON CHILDREN S HOSPITAL   (United States)

^e HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^f BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL FRAMEWORK; CANCER; CELL COMPONENT; DATA SET; ESTIMATION METHOD; GENE; GENE EXPRESSION; GENETIC ANALYSIS; INTEGRATED APPROACH; MODEL; PARAMETER ESTIMATION; PROTEIN; RNA; VULNERABILITY;

ARTICLE; CANCER CELL LINE; CANCER MODEL; CONTROLLED STUDY; CRISPR-CAS9 SYSTEM; ESSENTIAL GENE; GOLD STANDARD; HUMAN CELL; RNA INTERFERENCE; BIOLOGICAL MODEL; GENETIC SCREENING; GENETICS; HUMAN; NEOPLASM; SOFTWARE;

GENES, ESSENTIAL; GENETIC TESTING; HUMANS; MODELS, GENETIC; NEOPLASMS; RNA INTERFERENCE; SOFTWARE;

EID: 85056025716     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/s41467-018-06916-5     Document Type: Article

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