Multi-label correlated semi-supervised learning for protein function prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6674 LNBI, Issue , 2011, Pages 368-379

  Jiang, Jonathan Q ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL APPROACH; CROSS VALIDATION; FUNCTIONAL CLASS; GLOBAL CONSISTENCY; LABEL INFORMATION; MULTI-LABEL; MULTIPLE FUNCTION; NEIGHBORHOOD TOPOLOGY; NETWORK-BASED LEARNING; PROTEIN FUNCTION PREDICTION; PROTEIN FUNCTIONS; PROTEIN-PROTEIN INTERACTION NETWORKS; SACCHAROMYCES CEREVISIAE; SECOND-LEVEL; SEMI-SUPERVISED ALGORITHM; SEMI-SUPERVISED LEARNING; STATE-OF-THE-ART METHODS;

ACTIVE NETWORKS; ALGORITHMS; ARTS COMPUTING; BIOINFORMATICS; PLASMA WAVES; SUPERVISED LEARNING; YEAST;

PROTEINS;

EID: 79955856338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21260-4_35     Document Type: Conference Paper

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