Extracting biologically significant patterns from short time series gene expression data

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 255-

  Tchagang, Alain B ^a   Bui, Kevin V ^b   McGinnis, Thomas ^a   Benos, Panayiotis V ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b University of Pittsburgh   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION OF STANDARDS; CHROMATIN IMMUNOPRECIPITATION; CLUSTERING TECHNIQUES; GENE EXPRESSION DATA; SHORT TIME SERIES; SIGNIFICANT PATTERNS; TEMPORAL EXPRESSIONS; TIME-SERIES GENE EXPRESSION DATA;

GENE EXPRESSION; TIME SERIES;

CLUSTERING ALGORITHMS;

AMINO ACID; FUNGAL PROTEIN;

ACCESS TO INFORMATION; ARTICLE; CELL ACTIVITY; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; INTERMETHOD COMPARISON; INTERNET; SACCHAROMYCES CEREVISIAE; TIME; TIME SERIES ANALYSIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED;

EID: 70349741129     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-255     Document Type: Article

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