Random forest similarity for protein-protein interaction prediction from multiple sources

Proceedings of the Pacific Symposium on Biocomputing 2005, PSB 2005

Volumn , Issue , 2005, Pages 531-542

  Qi, Yanjun ^a   Klein Sbetharaman, Judith ^b   Bar Joseph, Ziv ^a  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL DATA; CLASSIFICATION ALGORITHM; FALSE POSITIVE RATES; HIGH NOISE; HIGH THROUGHPUT; MISSING VALUES; MULTIPLE SOURCE; PROTEIN-PROTEIN INTERACTIONS; RANDOM FORESTS; SIMILARITY ESTIMATE; SIMILARITY MATRIX; TRAINING SETS;

DECISION TREES; PROTEINS;

CLUSTERING ALGORITHMS;

PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; BAYES THEOREM; BIOLOGY; CHEMISTRY; DECISION TREE; METABOLISM; METHODOLOGY; PROTEIN BINDING; REPRODUCIBILITY;

ALGORITHMS; AMINO ACID SEQUENCE; BAYES THEOREM; COMPUTATIONAL BIOLOGY; DECISION TREES; PROTEIN BINDING; PROTEINS; REPRODUCIBILITY OF RESULTS;

EID: 15944418607     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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