Bayesian analysis of high-throughput quantitative measurement of protein-DNA interactions

PLoS ONE

Volumn 6, Issue 10, 2011, Pages

  Pollock, David D ^a   de Koning, A P Jason ^a   Kim, Hyunmin ^a   Castoe, Todd A ^a   Churchill, Mair E A ^a   Kechris, Katerina J ^b  

^a UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^b Global Health and Health Disparities   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR; DNA;

ACCURACY; ARTICLE; BAYES THEOREM; BINDING AFFINITY; BINDING SITE; CALCULATION; CONTROLLED STUDY; DNA FLANKING REGION; IMMUNOPRECIPITATION; MONTE CARLO METHOD; PREDICTION; PROTEIN DNA INTERACTION; QUANTITATIVE ANALYSIS; SIMULATION; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METABOLISM; PROBABILITY; PROTEIN BINDING;

BAYES THEOREM; BINDING SITES; DNA; GENE EXPRESSION REGULATION; HUMANS; MARKOV CHAINS; PROTEIN BINDING; TRANSCRIPTION FACTORS;

EID: 80055113680     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0026105     Document Type: Article

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