A Poisson mixture model to identify changes in RNA polymerase II binding quantity using high-throughput sequencing technology

BMC Genomics

Volumn 9, Issue SUPPL. 2, 2008, Pages

  Feng, Weixing ^a,b   Liu, Yunlong ^a   Wu, Jiejun ^c   Nephew, Kenneth P ^a,c,d   Huang, Tim H M ^e   Li, Lang ^a,d  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b HARBIN ENGINEERING UNIVERSITY   (China)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e THE OHIO STATE UNIVERSITY COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIESTROGEN; ESTRADIOL; HORMONE; RNA POLYMERASE II;

BREAST CANCER; CELL STRAIN MCF 7; CHROMATIN IMMUNOPRECIPITATION; CONFERENCE PAPER; CONTROLLED STUDY; ENZYME BINDING; GENETIC ALGORITHM; HIGH THROUGHPUT SCREENING; HUMAN; HUMAN CELL; HUMAN GENOME; POISSON DISTRIBUTION; STATISTICAL MODEL; ALGORITHM; ARTICLE; BAYES THEOREM; DNA MICROARRAY; GENETICS; GENOME; METABOLISM; METHODOLOGY; NEOPLASM; PROTEIN BINDING; TUMOR CELL LINE;

ALGORITHMS; BAYES THEOREM; CELL LINE, TUMOR; CHROMATIN IMMUNOPRECIPITATION; ESTRADIOL; GENOME, HUMAN; HUMANS; MODELS, STATISTICAL; NEOPLASMS, HORMONE-DEPENDENT; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POISSON DISTRIBUTION; PROTEIN BINDING; RNA POLYMERASE II;

EID: 52249118778     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-9-S2-S23     Document Type: Conference Paper

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