A modification of the Jaccard-Tanimoto similarity index for diverse selection of chemical compounds using binary strings

Technometrics

Volumn 44, Issue 2, 2002, Pages 110-119

  Fligner, Michael A ^a   Verducci, Joseph S ^a   Blower, Paul E ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Binary data; Chemical fingerprints; Data mining; Measures of association; Optimal design

Indexed keywords

CHEMICAL COMPOUNDS; DATA MINING; DATABASE SYSTEMS; MEDICAL COMPUTING;

BINARY STRINGS; DIVERSE SELECTION; JACCARD-TANIMOTO SIMILARITY INDEX;

BIOMEDICAL ENGINEERING;

EID: 0036567220     PISSN: 00401706     EISSN: None     Source Type: Trade Journal    
DOI: 10.1198/004017002317375064     Document Type: Article

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