Improved ChIP-chip analysis by a mixture model approach

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Sun, Wei ^a   Buck, Michael J ^b   Patel, Mukund ^c   Davis, Ian J ^c  

^a University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; DATA NORMALIZATION; DATA NORMALIZATION METHODS; MICROARRAY ANALYSIS; NOVEL TECHNIQUES; PEAK IDENTIFICATION; PROTEIN-DNA INTERACTIONS; SYSTEMATIC STUDY;

DNA; PROTEINS;

MIXTURES;

ARTICLE; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; DNA HYBRIDIZATION; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; PROTEIN DNA INTERACTION; STATISTICAL ANALYSIS; ALGORITHM; COMPUTER SIMULATION; GENETIC DATABASE; GENETICS; HUMAN; METABOLISM; METHODOLOGY; POISSON DISTRIBUTION; PROTEIN BINDING; PROTEIN TERTIARY STRUCTURE; ROC CURVE; STATISTICAL MODEL;

CCCTC BINDING FACTOR; CCCTC-BINDING FACTOR; DNA BINDING PROTEIN; REPRESSOR PROTEIN;

ALGORITHMS; CHROMATIN IMMUNOPRECIPITATION; COMPUTER SIMULATION; DATABASES, GENETIC; DNA-BINDING PROTEINS; HUMANS; MICROARRAY ANALYSIS; MODELS, STATISTICAL; POISSON DISTRIBUTION; PROTEIN BINDING; PROTEIN STRUCTURE, TERTIARY; REPRESSOR PROTEINS; ROC CURVE;

EID: 67649496331     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-173     Document Type: Article

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