A probabilistic graph-theoretic approach to integrate multiple predictions for the protein-protein subnetwork prediction challenge

Annals of the New York Academy of Sciences

Volumn 1158, Issue , 2009, Pages 224-233

  Chua, Hon Nian ^a,c   Hugo, Willy ^b   Liu, Guimei ^b   Li, Xiaoli ^a   Wong, Limsoon ^b   Ng, See Kiong ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c South Tower ^*  (Singapore)

Author keywords

Data integration; Data mining; Protein protein interactions

Indexed keywords

ARTICLE; DNA INTEGRATION; GENE EXPRESSION; GENE INTERACTION; GENE REGULATORY NETWORK; GENETIC ENGINEERING; GENOME; GOLD STANDARD; HUMAN; HUMAN CELL; MATHEMATICAL COMPUTING; MATHEMATICAL GENETICS; MATHEMATICAL MODEL; PHENOTYPE; PREDICTION; PROTEIN DOMAIN; PROTEIN PROTEIN INTERACTION; SACCHAROMYCES CEREVISIAE;

SACCHAROMYCES CEREVISIAE;

EID: 63849337592     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1111/j.1749-6632.2008.03760.x     Document Type: Article

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