JEDA: Joint entropy diversity analysis. An information-theoretic method for choosing diverse and representative subsets from combinatorial libraries

Molecular Diversity

Volumn 10, Issue 3, 2006, Pages 333-339

  Landon, Melissa R ^a   Schaus, Scott E ^a,b  

^a BOSTON UNIVERSITY   (United States)

^b Boston University   (United States)

Author keywords

Chemical diversity; Representative subset selection; Shannon entropy

Indexed keywords

REAGENT;

ALGORITHM; ARTICLE; BIOINFORMATICS; COMBINATORIAL CHEMISTRY; COMBINATORIAL LIBRARY; COMPREHENSIVE MEDICAL CHEMISTRY DATASET; ENTROPY; JOINT ENTROPY DIVERSITY ANALYSIS; MATHEMATICAL ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; SCORING SYSTEM; SHANNON ENTROPY; SYSTEM ANALYSIS;

CHEMISTRY, PHARMACEUTICAL; COMBINATORIAL CHEMISTRY TECHNIQUES; DATABASES, FACTUAL; DRUG DESIGN; ENTROPY; MODELS, THEORETICAL; MOLECULAR STRUCTURE;

EID: 33749632444     PISSN: 13811991     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11030-006-9042-4     Document Type: Article

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