Network-based Auto-probit Modeling for Protein Function Prediction

Biometrics

Volumn 67, Issue 3, 2011, Pages 958-966

  Jiang, Xiaoyu ^a   Gold, David ^b   Kolaczyk, Eric D ^c  

^a BOEHRINGER INGELHEIM PHARMACEUTICALS INC   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c Boston University   (United States)

Author keywords

Auto probit; Bayesian hierarchical model; Gene ontology annotation uncertainty; MCMC algorithm; Protein function prediction; STRING

Indexed keywords

DATABASE SYSTEMS; FORECASTING; GENE ONTOLOGY; GENES; HIERARCHICAL SYSTEMS; NETWORK TOPOLOGY;

AUTO-PROBIT; BAYESIAN HIERARCHICAL MODELLING; GENE ONTOLOGY ANNOTATION UNCERTAINTY; GENE ONTOLOGY ANNOTATIONS; INTERACTING GENES; MCMC ALGORITHMS; PROTEIN FUNCTION PREDICTION; SEARCH TOOL FOR THE RETRIEVAL OF INTERACTING GENE/PROTEIN; SEARCH TOOLS; UNCERTAINTY;

PROTEINS;

ACCURACY ASSESSMENT; ALGORITHM; BAYESIAN ANALYSIS; CLASSIFICATION; DATABASE; MULTIVARIATE ANALYSIS; NETWORK ANALYSIS; NUMERICAL MODEL; ONTOGENY; PREDICTION; PROTEIN; TOPOLOGY; UNCERTAINTY ANALYSIS; YEAST;

EID: 80052793418     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01519.x     Document Type: Article

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