A max-flow-based approach to the identification of protein complexes using protein interaction and microarray data

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 8, Issue 3, 2011, Pages 621-634

  Feng, Jianxing ^a   Jiang, Rui ^a   Jiang, Tao ^b  

^a TSINGHUA UNIVERSITY   (China)

^b University of California Riverside   (United States)

Author keywords

dense subgraph; efficient algorithm; maximum network flow; microarray; Protein complex; protein protein interaction network

Indexed keywords

EFFICIENT ALGORITHM; MAXIMUM NETWORK FLOW; PROTEIN COMPLEX; PROTEIN-PROTEIN INTERACTION NETWORK; SUBGRAPHS;

ACTIVE NETWORKS; ALGORITHMS; COMPLEXATION; GENE EXPRESSION;

PROTEINS;

SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; METHODOLOGY; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN MICROARRAY; REPRODUCIBILITY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENE EXPRESSION PROFILING; PROTEIN ARRAY ANALYSIS; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 79952821417     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2010.78     Document Type: Article

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