Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments

In time-course experiments, it is often desirable to identify genes that exhibit a specific pattern of differential expression over time and thus gain insights into the mechanisms of the underlying biological processes. Two challenging issues in the pattern identification problem are: (i) how to com...

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Veröffentlicht in:	Journal of the American Statistical Association Jg. 106; H. 493; S. 73 - 88
Hauptverfasser:	Sun, Wenguang, Wei, Zhi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Alexandria, VA American Statistical Association 01.03.2011 Taylor & Francis Ltd
Schlagworte:	Algebra Applications Applications and Case Studies Applied statistics Bioinformatics Chromosomes Commutative rings and algebras Computer analysis Data Data analysis Decision making Decision theory DNA Exact sciences and technology Experiments Gene expression General topics Genes Identification Immune response Inflammation Markov analysis Markov models Markovian processes Mathematics Model testing Modeling Oracles Probability and statistics Sciences and techniques of general use Statistical analysis Statistics Testing Time Human Correlation Microarray time-course data Statistical association Statistical estimation Statistical decision Multivariate analysis Microarray Conjunction and partial conjunction tests Multiple decision Statistical method Statistical test Compound decision problem Correlation analysis Decision theory Hidden Markov models Simultaneous set-wise testing Hidden Markov model False discovery rate P value
ISSN:	0162-1459, 1537-274X
Online-Zugang:	Volltext
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