A mechanistic pan-cancer pathway model informed by multi-omics data interprets stochastic cell fate responses to drugs and mitogens.

A mechanistic pan-cancer pathway model informed by multi-omics data interprets stochastic cell fate responses to drugs and mitogens.

Most cancer cells harbor multiple drivers whose epistasis and interactions with expression context clouds drug and drug combination sensitivity prediction. We constructed a mechanistic computational model that is context-tailored by omics data to capture regulation of stochastic proliferation and de...

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Bibliographic Details
Main Authors: Mehdi Bouhaddou, Anne Marie Barrette, Alan D Stern, Rick J Koch, Matthew S DiStefano, Eric A Riesel, Luis C Santos, Annie L Tan, Alex E Mertz, Marc R Birtwistle
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-03-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC5886578?pdf=render

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http://europepmc.org/articles/PMC5886578?pdf=render

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