BaySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Hardcastle, Thomas J ^a   Kelly, Krystyna A ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF DATA; DIFFERENTIAL EXPRESSIONS; EMPIRICAL BAYES APPROACH; EMPIRICAL BAYESIAN METHOD; EXPRESSION LEVELS; HIGH-THROUGHPUT SEQUENCING; NEGATIVE BINOMIAL DISTRIBUTION; PRIOR DISTRIBUTION;

ALGORITHMS;

BAYESIAN NETWORKS;

PLANT RNA;

ALGORITHM; ARABIDOPSIS; ARTICLE; BAYES THEOREM; GENE EXPRESSION PROFILING; GENETICS; METHODOLOGY; NUCLEOTIDE SEQUENCE;

ALGORITHMS; ARABIDOPSIS; BASE SEQUENCE; BAYES THEOREM; GENE EXPRESSION PROFILING; RESEARCH DESIGN; RNA, PLANT;

EID: 77955298482     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-422     Document Type: Article

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