Diffusion kernel-based logistic regression models for protein function prediction

OMICS A Journal of Integrative Biology

Volumn 10, Issue 1, 2006, Pages 40-55

  Lee, Hyunju ^a   Tu, Zhidong ^b   Deng, Minghua ^c   Sun, Fengzhu ^b   Chen, Ting ^b  

^a University of Southern California   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN COMPLEX; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; CHI SQUARE TEST; COMPLEX FORMATION; CORRELATION FUNCTION; DIFFUSION; GENE EXPRESSION; INFORMATION SYSTEM; KERNEL METHOD; LOGISTIC REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; PROTEOMICS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

DATABASES, PROTEIN; FUNGAL PROTEINS; MARKOV CHAINS; MATHEMATICS; MODELS, THEORETICAL; PROTEIN INTERACTION MAPPING; REGRESSION ANALYSIS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33645901213     PISSN: 15362310     EISSN: None     Source Type: Journal    
DOI: 10.1089/omi.2006.10.40     Document Type: Article

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