- Unique identifier:
- Software type:
- Restrictions to use:
- Programming languages:
- Drug-Induced Genomic Residual Effect
- Command line interface
- Operating system:
- Unix/Linux, Mac OS, Windows
- Computer skills:
- Yang Xie <>
No open topic.
(Bansal et al., 2014)
A community computational challenge to predict the activity of pairs of compounds.
PMID: 25419740 DOI: 10.1038/nbt.3052
(Yang et al., 2015)
DIGRE: Drug-Induced Genomic Residual Effect Model for Successful Prediction of Multidrug Effects.
CPT Pharmacometrics Syst Pharmacol.
PMID: 26225227 DOI: 10.1002/psp4.1
Department of Clinical Sciences, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Laboratory of Disease Genomics and Individualized Medicine, Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medical College, Houston, TX, USA; Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
Supported by National Institutes of Health grants 5R01CA152301,1 R01CA172211, and 4R33DA027592, and Cancer Prevention Research Institute of Texas award RP101251.
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