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Volumn 102, Issue 5, 2018, Pages 920-942

FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications

Author keywords

functional genomics; noncoding variation; prediction of functional effect

Indexed keywords

ARTICLE; CELLS BY BODY ANATOMY; CONTROLLED STUDY; EMBRYO; EXPRESSION QUANTITATIVE TRAIT LOCUS; FEMALE; FETUS; GENE FUNCTION; GENETIC VARIABILITY; GENOME-WIDE ASSOCIATION STUDY; HERITABILITY; HUMAN; HUMAN CELL; HUMAN TISSUE; LATENT DIRICHLET ALLOCATION MODEL; MALE; MEASUREMENT ACCURACY; MOUSE; NONHUMAN; PREDICTION; PRIORITY JOURNAL; STATISTICAL MODEL; TISSUE SPECIFICITY; VALIDATION STUDY; ALGORITHM; ANTIBODY SPECIFICITY; BIOLOGICAL MODEL; GENE LINKAGE DISEQUILIBRIUM; GENETIC VARIATION; GENETICS; MOLECULAR GENETICS; PROBABILITY; QUANTITATIVE TRAIT LOCUS; REPRODUCIBILITY; SINGLE NUCLEOTIDE POLYMORPHISM; TWINS;

EID: 85046171165     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2018.03.026     Document Type: Article
Times cited : (65)

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