Pre-clinical drug prioritization via prognosis-guided genetic interaction networks.
The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Patient population heterogeneity and unpredictable physiology complicate pre-clinical cancer modeling efforts. We hypothesize that gene networks asso...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2010-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2978107?pdf=render |