A three component latent class model for robust semiparametric gene discovery

Statistical Applications in Genetics and Molecular Biology

Volumn 10, Issue 1, 2011, Pages

  Alfo', Marco ^a   Farcomeni, Alessio ^a   Tardella, Luca ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

differentially expressed genes; effect size; microarray data; mixture model

Indexed keywords

ALGORITHM; ARTICLE; GENE EXPRESSION; GENETIC VARIABILITY; HUMAN; MULTIPLE SCLEROSIS; PARAMETER; SIMULATION; STATISTICAL MODEL; COMPUTER SIMULATION; DATA MINING; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; PROBABILITY; STATISTICAL ANALYSIS; STATISTICS;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATA MINING; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION STUDIES; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROBABILITY;

EID: 79951495824     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1565     Document Type: Article

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