Effective identification of essential proteins based on priori knowledge, network topology and gene expressions

Methods

Volumn 67, Issue 3, 2014, Pages 325-333

  Li, Min ^a   Zheng, Ruiqing ^a   Zhang, Hanhui ^a   Wang, Jianxin ^a   Pan, Yi ^a,b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Essential protein; Gene expression; Protein interaction networks

Indexed keywords

PROTEIN; SACCHAROMYCES CEREVISIAE PROTEIN;

ACCURACY; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BETWEENNESS CENTRALITY; BOTTLE NECK; CEPPK ALGORITHM; CLOSENESS CENTRALITY; CPPK ALGORITHM; DEGREE CENTRALITY; DENSITY OF MAXIMUM NEIGHBORHOOD COMPONENT; EIGENVECTOR CENTRALITY; GENE EXPRESSION; GENE LOCATION; GENE PRODUCT; GENETIC IDENTIFICATION; INFORMATION CENTRALITY; INTERMETHOD COMPARISON; KNOWLEDGE; LOCAL AVERAGE CONNECTIVITY; MACHINE LEARNING; NETWORK CENTRALITY; NONHUMAN; PRIORITY JOURNAL; PROTEIN INTERACTION; PROTEIN PROTEIN INTERACTION; RECEIVER OPERATING CHARACTERISTIC; SACCHAROMYCES CEREVISIAE; SUBGRAPH CENTRALITY; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; PROCEDURES;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; GENE EXPRESSION PROFILING; PROTEIN INTERACTION MAPS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 84901397951     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.02.016     Document Type: Article

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