Empirical Bayes methods and false discovery rates for microarrays

Genetic Epidemiology

Volumn 23, Issue 1, 2002, Pages 70-86

  Efron, Bradley ^a   Tibshirani, Robert ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

A posteriori probability of gene significance; Multiple comparisons; Simultaneous hypothesis tests

Indexed keywords

DNA;

ARTICLE; BAYES THEOREM; DNA MICROARRAY; FEMALE; GENE ACTIVITY; GENE MUTATION; HUMAN; HUMAN CELL; MODEL; STATISTICAL ANALYSIS; BREAST TUMOR; GENETICS; REPRODUCIBILITY; TUMOR SUPPRESSOR GENE;

BAYES THEOREM; BREAST NEOPLASMS; FEMALE; GENES, BRCA1; GENES, BRCA2; HUMAN; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; HUMANS;

EID: 0035992248     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.1124     Document Type: Article

References (13)

1. Controlling the false discovery rate: A practical and powerful approach to multiple testing
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3. Microarrays, empirical Bayes methods, and false discovery rates
4. Empirical Bayes analysis of a microarray experiment
5. Gene expression profiles in hereditary breast cancer
6. On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
7. An empirical Bayes approach to statistics
8. An improved Bonferroni procedure for multiple tests of significance
9. The false discovery rate: A Bayesian interpretation and the q-value
10. A new approach to false discovery rates and multiple hypotheses testing
11. Significance analysis of microarrays applied to transcriptional responses to ionizing radiation