A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 8, Issue 3, 2011, Pages 607-620

  Wang, Jianxin ^a   Li, Min ^a   Chen, Jianer ^b   Pan, Yi ^c  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b TEXAS A AND M UNIVERSITY   (United States)

^c GEORGIA STATE UNIVERSITY   (United States)

Author keywords

functional module; Gene Ontology; hierarchical clustering algorithm; Protein interaction network

Indexed keywords

BIOLOGICAL PROCESS; CELLULAR COMPONENTS; CELLULAR ORGANIZATION; COMPETING ALGORITHMS; DATA SETS; EDGE CLUSTERING; FALSE POSITIVE; FUNCTIONAL MODULES; GENE ONTOLOGY; HIERARCHICAL CLUSTERING ALGORITHMS; HIERARCHICAL ORGANIZATIONS; HIERARCHICAL STRUCTURES; HIGH THROUGHPUT EXPERIMENTS; LOW DENSITY; MOLECULAR FUNCTION; PROTEIN INTERACTION; PROTEIN INTERACTION NETWORK; PROTEIN INTERACTION NETWORKS; WEIGHTED NETWORKS; YEAST PROTEINS;

ACTIVE NETWORKS; GENES; ONTOLOGY; PROTEINS; THROUGHPUT;

CLUSTERING ALGORITHMS;

SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHM; ARTICLE; BIOLOGY; CLUSTER ANALYSIS; GENETICS; LINGUISTICS; METABOLISM; METHODOLOGY; PROTEIN ANALYSIS; REPRODUCIBILITY; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL TRANSDUCTION; VOCABULARY, CONTROLLED;

EID: 79952841798     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2010.75     Document Type: Article

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