Streamlining the research and development pipeline by coupling of information technology and biology

Drug Information Journal

Volumn 36, Issue 1, 2002, Pages 169-178

  Meyer, Hans F ^a  

^a SAS Institute GmbH   (Germany)

Author keywords

Biology; Information technology; Research and development

Indexed keywords

DRUG;

ARTICLE; COOPERATION; DATA ANALYSIS; DRUG RESEARCH; EXPERT SYSTEM; GENOMICS; INFORMATION PROCESSING; INFORMATION SCIENCE; MEDICAL RESEARCH; PRIORITY JOURNAL; PROTEOMICS; RISK ASSESSMENT; SCREENING; TECHNOLOGY;

EID: 0036192136     PISSN: 00928615     EISSN: None     Source Type: Journal    
DOI: 10.1177/009286150203600122     Document Type: Article

References (4)

1. Analysis of a large structure-activity data set using recursive partitioning
2. Approaches for mining HTS data sets