Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Gilchrist, Michael A ^a   Qin, Hong ^a,b   Zaretzki, Russell ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

^b TUSKEGEE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION LEVELS; HIGH-THROUGHPUT METHOD; MARGINAL POSTERIOR DISTRIBUTION; MODEL BASED APPROACH; MRNA EXPRESSION LEVEL; POSTERIOR PROBABILITY; SERIAL ANALYSIS OF GENE EXPRESSIONS; YEAST SACCHAROMYCES CEREVISIAE;

BAYESIAN NETWORKS; DATA PROCESSING; GENE EXPRESSION; YEAST;

PROBABILITY DISTRIBUTIONS;

MESSENGER RNA; TRANSCRIPTION FACTOR;

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DATA ANALYSIS; ENZYME DEGRADATION; FUNGAL GENETICS; GENE FREQUENCY; NONHUMAN; PROBABILITY; SACCHAROMYCES CEREVISIAE; SERIAL ANALYSIS OF GENE EXPRESSION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA SEQUENCE; EXPRESSED SEQUENCE TAG; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

SACCHAROMYCES CEREVISIAE;

BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATABASES, GENETIC; EXPRESSED SEQUENCE TAGS; GENE EXPRESSION PROFILING; MODELS, GENETIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, DNA; TRANSCRIPTION FACTORS;

EID: 38749113349     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-403     Document Type: Article

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