Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Abstract
The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca's large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell...
Paper Details
Title
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Published Date
Jun 17, 2019
Journal
Volume
10
Issue
1
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