Graph-based consensus clustering for combining multiple clusterings of chemical structures

Molecular Informatics

Volumn 32, Issue 2, 2013, Pages 165-178

  Saeed, Faisal ^a,b   Salim, Naomie ^a   Abdo, Ammar ^c,d   Hentabli, Hamza ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b SANA'A COMMUNITY COLLEGE   (Yemen)

^c HODEIDAH UNIVERSITY   (Yemen)

^d UNIV LILLE   (France)

Author keywords

Compound selection; Ensemble generations; Graph partitioning; High throughput Screening; Individual clusterings; Molecular dataset

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; LEARNING SYSTEMS; PATTERN RECOGNITION; STRUCTURE (COMPOSITION);

CLUSTERING METHODS; CLUSTERINGS; COMPOUND SELECTION; CONSENSUS CLUSTERING; ENSEMBLE GENERATION; GRAPH PARTITIONING; GRAPH-BASED; HIGH THROUGHPUT SCREENING; INDIVIDUAL CLUSTERING; MOLECULAR DATASET;

CLUSTER ANALYSIS;

ARTICLE; CHEMICAL STRUCTURE; CLUSTER ANALYSIS; FINGER DERMATOGLYPHICS; GRAPH BASED CONSENSUS CLUSTERING; HIGH THROUGHPUT SCREENING; MOLECULE; PRIORITY JOURNAL;

EID: 84874093621     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201200110     Document Type: Article

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