Integrating Diverse Datasets Improves Developmental Enhancer Prediction

PLoS Computational Biology

Volumn 10, Issue 6, 2014, Pages

  Erwin, Genevieve D ^a,b   Oksenberg, Nir ^b   Truty, Rebecca M ^a   Kostka, Dennis ^c   Murphy, Karl K ^b   Ahituv, Nadav ^b   Pollard, Katherine S ^a,b,d   Capra, John A ^e  

^a GLADSTONE INSTITUTE OF CARDIOVASCULAR DISEASE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMISTRY; CELL CULTURE; DNA; DNA SEQUENCES; GENOME; HISTOLOGY; PROTEINS; TISSUE; TRANSCRIPTION;

CHROMATIN DNA; CHROMATIN MODIFICATION; EMBRYONICS; EVOLUTIONARY CONSERVATIONS; GENOMICS; PROTEIN-BINDING; REGULATORY PROTEIN; SEQUENCE MOTIFS; TISSUE SPECIFICITY; TWO STEP METHOD;

FORECASTING;

CYTOSINE; DNA; GUANINE; HISTONE;

ARTICLE; CHROMATIN; DEVELOPMENTAL BIOLOGY; DNA SEQUENCE; EMBRYONAL TISSUE; ENHANCER REGION; FUNCTIONAL GENOMICS; GENETIC ASSOCIATION; GENETIC CONSERVATION; GENOME; HUMAN; MACHINE LEARNING; NONHUMAN; PREDICTION; PROTEIN BINDING; SINGLE NUCLEOTIDE POLYMORPHISM; VALIDATION PROCESS; WEB BROWSER; ANIMAL; ANTIBODY SPECIFICITY; ARTIFICIAL INTELLIGENCE; GENETIC DATABASE; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; MOUSE; PROCEDURES; STATISTICAL MODEL; TRANSGENIC MOUSE;

ANIMALS; ARTIFICIAL INTELLIGENCE; DATABASES, GENETIC; ENHANCER ELEMENTS, GENETIC; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HISTONES; HUMANS; MICE; MICE, TRANSGENIC; MODELS, STATISTICAL; ORGAN SPECIFICITY;

EID: 84903388630     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003677     Document Type: Article

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