EMERGE: A flexible modelling framework to predict genomic regulatory elements from genomic signatures

Nucleic Acids Research

Volumn 44, Issue 5, 2015, Pages e42-

  Van Duijvenboden, Karel ^a   De Boer, Bouke A ^a   Capon, Nicolas ^a   Ruijter, Jan M ^a   Christoffels, Vincent M ^a  

^a ACADEMIC MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; DATA PROCESSING; DNA STRUCTURE; ENHANCER REGION; GENOME; HUMAN; LOGISTIC REGRESSION ANALYSIS; NONHUMAN; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REGULATORY SEQUENCE; STATISTICAL MODEL; ANIMAL; CHROMOSOMAL MAPPING; DROSOPHILA MELANOGASTER; GENETICS; INFORMATION PROCESSING; MOUSE; PROCEDURES; SOFTWARE;

ANIMALS; CHROMOSOME MAPPING; DATASETS AS TOPIC; DROSOPHILA MELANOGASTER; ENHANCER ELEMENTS, GENETIC; GENOME; HUMANS; LOGISTIC MODELS; MICE; ROC CURVE; SOFTWARE;

EID: 84963804708     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkv1144     Document Type: Article

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