Generalized hierarchical Markov models for the discovery of length-constrained sequence features from genome tiling arrays

Biometrics

Volumn 63, Issue 3, 2007, Pages 797-805

  Gupta, Mayetri ^a  

^a IL   (United States)

Author keywords

Bayesian hierarchical model; Chromatin; Data augmentation; Gene regulation; Nucleosome

Indexed keywords

GENES; GENOME; HIDDEN MARKOV MODELS; HIERARCHICAL SYSTEMS;

BAYESIAN HIERARCHICAL MODELLING; CHROMATIN; DATA AUGMENTATION; GENE-REGULATION; GENOME TILING ARRAYS; LENGTH CONSTRAINED; LENGTH CONSTRAINTS; MARKOV MODELING; NUCLEOSOMES; SEQUENCE FEATURES;

PROBES;

ALGORITHM; ARRAY; BAYESIAN ANALYSIS; CHROMOSOME; GENOME; MARKOV CHAIN; MONTE CARLO ANALYSIS; YEAST;

ALGORITHM; ARTICLE; BAYES THEOREM; CHROMOSOME ANALYSIS; GENE SEQUENCE; GENOME ANALYSIS; MONTE CARLO METHOD; PROBABILITY;

EID: 34548396434     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00760.x     Document Type: Article

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