Identifying overrepresented concepts in gene lists from literature: A statistical approach based on Poisson mixture model

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  He, Xin ^a   Sarma, Moushumi S ^b   Ling, Xu ^a   Chee, Brant ^b   Zhai, Chengxiang ^a   Schatz, Bruce ^b  

^a University of Illinois at Urbana Champaign   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPRESSION PATTERNS; EXTRACTING CONCEPT; INTERACTIVE ANALYSIS; LABOR INTENSIVE PROCESS; LITERATURE MINING; MANUAL ANNOTATION; STATISTICAL APPROACH; STATISTICAL FRAMEWORK;

EXPERIMENTS; MIXTURES;

GENE EXPRESSION;

ARTICLE; BIOLOGY; GENE; GENE EXPRESSION PROFILING; METHODOLOGY; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENES; MODELS, STATISTICAL;

EID: 77953993713     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-272     Document Type: Article

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