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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Sparad:
Bibliografiska uppgifter
I publikationen:PLoS Comput Biol
Huvudupphovsmän: Bouhaddou, Mehdi, Barrette, Anne Marie, Stern, Alan D., Koch, Rick J., DiStefano, Matthew S., Riesel, Eric A., Santos, Luis C., Tan, Annie L., Mertz, Alex E., Birtwistle, Marc R.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Public Library of Science 2018
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5886578/
https://ncbi.nlm.nih.gov/pubmed/29579036
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005985
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