Exploring the complexity of pathway-drug relationships using latent Dirichlet allocation

Computational Biology and Chemistry

Volumn 53, Issue PA, 2014, Pages 144-152

  Pratanwanich, Naruemon ^a   Lio, Pietro ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bayesian inference; Biological pathways; Dirichlet allocation (LDA); Functional genomics; Genome complexity Latent

Indexed keywords

BAYESIAN INFERENCE; BIOLOGICAL PATHWAYS; DIRICHLET; FUNCTIONAL GENOMICS; LATENT DIRICHLET ALLOCATION;

2,4 THIAZOLIDINEDIONE DERIVATIVE; CHROMAN DERIVATIVE; DEXAMETHASONE; GENISTEIN; PROPYLTHIOURACIL; TROGLITAZONE;

ALGORITHM; BAYES THEOREM; DRUG EFFECTS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; HUMAN; HUMAN GENOME; METABOLISM; PHARMACOGENETICS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; CHROMANS; DEXAMETHASONE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENISTEIN; GENOME, HUMAN; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MODELS, STATISTICAL; PHARMACOGENETICS; PROPYLTHIOURACIL; THIAZOLIDINEDIONES;

EID: 84908543129     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2014.08.019     Document Type: Article

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