An Integrated Model of Multiple-Condition ChIP-Seq Data Reveals Predeterminants of Cdx2 Binding

PLoS Computational Biology

Volumn 10, Issue 3, 2014, Pages

  Mahony, Shaun ^a   Edwards, Matthew D ^b   Mazzoni, Esteban O ^c   Sherwood, Richard I ^d   Kakumanu, Akshay ^a   Morrison, Carolyn A ^e   Wichterle, Hynek ^e   Gifford, David K ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c NEW YORK UNIVERSITY   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e NewYork Presbyterian Hospital   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENES; LEARNING SYSTEMS; MAMMALS; MAXIMUM PRINCIPLE;

BINDING EVENTS; CELL TYPES; CONDITION; EXPECTATION-MAXIMIZATION FRAMEWORKS; GENERALIZED EXPECTATION MAXIMIZATION; GENOMICS; INTEGRATED MACHINES; INTEGRATED MODELING; MACHINE LEARNING APPROACHES; REGULATORY PROTEIN;

GENOME;

TRANSCRIPTION FACTOR CDX2;

ACCURACY; ARTICLE; BINDING SITE; CELL SPECIFICITY; COMPUTER PROGRAM; DATA BASE; DATA PROCESSING; GENE SEQUENCE; GENOMICS; MACHINE LEARNING; MATHEMATICAL MODEL; METHODOLOGY; NUCLEOTIDE SEQUENCE; PROTEIN DNA BINDING; REGULATORY MECHANISM; RELIABILITY; SYSTEM ANALYSIS;

AMINO ACID MOTIFS; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BINDING SITES; CELL LINE; CHROMATIN IMMUNOPRECIPITATION; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; EMBRYONIC STEM CELLS; GENOME; HOMEODOMAIN PROTEINS; MICE; PROTEIN BINDING; SEQUENCE ANALYSIS, DNA;

EID: 84897436870     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003501     Document Type: Article

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