A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data

Science

Volumn 302, Issue 5644, 2003, Pages 449-453

  Jansen, Ronald ^a,d   Yu, Haiyuan ^a   Greenbaum, Dov ^a   Kluger, Yuval ^a   Krogan, Nevan J ^c   Chung, Sambath ^a   Emili, Andrew ^c   Snyder, Michael ^a   Greenblatt, Jack F ^c   Gerstein, Mark ^a,b  

^a YALE UNIVERSITY   (United States)

^b Yale University   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

^d MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEINS; RNA; YEAST;

DATA SETS;

GENES;

MESSENGER RNA;

ARTICLE; BAYES THEOREM; NONHUMAN; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; PROTEIN PROTEIN INTERACTION; PROTEIN PURIFICATION; RELIABILITY; VALIDATION PROCESS; YEAST;

BAYES THEOREM; DEAD-BOX RNA HELICASES; DNA REPLICATION; GENE EXPRESSION; GENOME, FUNGAL; LIKELIHOOD FUNCTIONS; NUCLEOSOMES; PEPTIDE CHAIN ELONGATION, TRANSLATIONAL; PROTEIN INTERACTION MAPPING; PROTEOMICS; RNA HELICASES; RNA, MESSENGER; RNA-BINDING PROTEINS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SENSITIVITY AND SPECIFICITY;

EID: 0142052944     PISSN: 00368075     EISSN: None     Source Type: Journal    
DOI: 10.1126/science.1087361     Document Type: Article

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