Rouillard, Andrew D <br/><br/>
Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.  [electronic resource] 

 -  PLoS computational biology  05 2018 
 - e1006142 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1553-7358 
<br/><br/><label>Standard No.: </label>10.1371/journal.pcbi.1006142  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Animals<br/>Cell Line<br/>Computational Biology<br/>Drug Discovery--methods<br/>Gene Expression Profiling--methods<br/>Humans<br/>Mice<br/>Signal Transduction--drug effects<br/>Transcriptome--drug effects