Predicting high-throughput screening results with scalable literature-based discovery methods

CPT: Pharmacometrics and Systems Pharmacology

Volumn 3, Issue 10, 2014, Pages

  Cohen, T ^a   Widdows, D ^b   Stephan, C ^c   Zinner, R ^d   Kim, J ^d   Rindflesch, T ^e   Davies, P ^c  

^a UNIVERSITY OF TEXAS   (United States)

^b MICROSOFT   (United States)

^c TEXAS A AND M HEALTH SCIENCE CENTER   (United States)

^d UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; COMPUTER MODEL; EMPIRICAL RESEARCH; HIGH THROUGHPUT SCREENING; HUMAN; HUMAN CELL; INFORMATION RETRIEVAL; MALE; MEDICAL LITERATURE; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER CELL LINE;

EID: 84926476601     PISSN: None     EISSN: 21638306     Source Type: Journal    
DOI: 10.1038/psp.2014.37     Document Type: Article

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