A hidden Markov model to identify combinatorial epigenetic regulation patterns for estrogen receptor α target genes

Bioinformatics

Volumn 29, Issue 1, 2013, Pages 22-28

  Bonneville, Russell ^a   Jin, Victor X ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTINEOPLASTIC HORMONE AGONISTS AND ANTAGONISTS; ESTROGEN RECEPTOR ALPHA; ESTROGEN RECEPTOR ALPHA, HUMAN; TAMOXIFEN;

ARTICLE; BAYES THEOREM; BREAST TUMOR; CELL STRAIN MCF 7; CHROMATIN IMMUNOPRECIPITATION; DNA METHYLATION; DNA SEQUENCE; DRUG RESISTANCE; FEMALE; GENE EXPRESSION REGULATION; GENETIC EPIGENESIS; GENETICS; GENOMICS; HUMAN; METABOLISM; METHODOLOGY; PROBABILITY;

ANTINEOPLASTIC AGENTS, HORMONAL; BAYES THEOREM; BREAST NEOPLASMS; CHROMATIN IMMUNOPRECIPITATION; DNA METHYLATION; DRUG RESISTANCE, NEOPLASM; EPIGENESIS, GENETIC; ESTROGEN RECEPTOR ALPHA; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; GENOMICS; HUMANS; MARKOV CHAINS; MCF-7 CELLS; SEQUENCE ANALYSIS, DNA; TAMOXIFEN;

EID: 84871756139     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts639     Document Type: Article

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