Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality-Reference-Cited by-同舟云学术

Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality

Published:2014-08 Issue:5 Volume:158 Page:1199-1209
ISSN:0092-8674
Container-title:Cell
language:en
Short-container-title:Cell

Author:

Jerby-Arnon Livnat,Pfetzer Nadja,Waldman Yedael Y.,McGarry Lynn,James Daniel,Shanks Emma,Seashore-Ludlow Brinton,Weinstock Adam,Geiger Tamar,Clemons Paul A.,Gottlieb Eyal,Ruppin Eytan

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology

Reference43 articles.

1. Genetic interactions in cancer progression and treatment;Ashworth;Cell,2011

2. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

3. A systematic mammalian genetic interaction map reveals pathways underlying ricin susceptibility;Bassik;Cell,2013

4. An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules;Basu;Cell,2013

5. The landscape of somatic copy-number alteration across human cancers;Beroukhim;Nature,2010

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