Identifying disease genes by integrating multiple data sources

BMC Medical Genomics

Volumn 7, Issue 2, 2014, Pages

  Chen, Bolin ^a   Wang, Jianxin ^b   Li, Min ^b   Wu, Fang Xiang ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Bayesian analysis; data integration; disease gene; Markov random field

Indexed keywords

MULTIPROTEIN COMPLEX;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BAYESIAN LEARNING; CONTROLLED STUDY; DATA INTEGRATION RANK; DISEASE ASSOCIATION; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENETIC ASSOCIATION; GENOTYPE PHENOTYPE CORRELATION; MARKOV RANDOM FIELD; MATHEMATICAL ANALYSIS; MEASUREMENT ACCURACY; PREDICTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; RANDOM WALK WITH RESTART; RECEIVER OPERATING CHARACTERISTIC; BAYES THEOREM; BIOLOGY; DISEASES; GENETICS; HUMAN; PROBABILITY; PROCEDURES;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; DISEASE; HUMANS; MARKOV CHAINS;

EID: 84922095357     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/1755-8794-7-S2-S2     Document Type: Article

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