A Bayesian mixture model for chromatin interaction data

Statistical Applications in Genetics and Molecular Biology

Volumn 14, Issue 1, 2015, Pages 53-64

  Niu, Liang ^b   Lin, Shili ^a  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

Author keywords

Bayesian mixture model; ChIA PET; R package

Indexed keywords

DNA FRAGMENT; ESTROGEN RECEPTOR ALPHA; CHROMATIN;

ARTICLE; BAYES THEOREM; BINDING SITE; CHROMATIN; CHROMATIN IMMUNOPRECIPITATION; CHROMATIN INTERACTION ANALYSIS; FALSE POSITIVE RESULT; GENETIC TRANSCRIPTION; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN CELL; MARGINAL COUNT AND DISTANCE MODEL; MOLECULAR DYNAMICS; NEXT GENERATION SEQUENCING; NONBIOLOGICAL MODEL; NUCLEIC ACID ANALYSIS; POISSON DISTRIBUTION; PROMOTER REGION; PROTEIN BINDING; TRANSCRIPTION INITIATION SITE; ALGORITHM; COMPUTER SIMULATION; GENETICS; METABOLISM; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; CHROMATIN; COMPUTER SIMULATION; MODELS, STATISTICAL;

EID: 84922571926     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2014-0029     Document Type: Article

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