ExactFDR: Exact computation of false discovery rate estimate in case-control association studies

Bioinformatics

Volumn 24, Issue 20, 2008, Pages 2407-2408

  Wojcik, Jérôme ^a   Forner, Karl ^a  

^a MERCK SERONO S A   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CASE CONTROL STUDY; COMPUTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; FALSE POSITIVE RESULT; GENETIC ASSOCIATION; GENOME ANALYSIS; GENOTYPE; HUMAN; HYPOTHESIS; MAJOR CLINICAL STUDY; MULTIPLE SCLEROSIS; POPULATION GENETICS; POPULATION RESEARCH; PRIORITY JOURNAL; PROBABILITY; SIGNAL NOISE RATIO; STATISTICAL SIGNIFICANCE;

EID: 53749096817     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btn379     Document Type: Article

References (7)

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3. Benjamini,Y. et al. (2001) The control of the false discovery rate in multiple testing under dependency. Ann. Stat., 29, 1165-1188.
4. Forner,K. et al. (2008) Universal false discovery rate estimation methodology for genome-wide association studies. Hum. Hered., 65, 183-194.
5. Ge,Y. et al. (2003) Resampling-based multiple testing for microarray data analysis. Test, 12, 1-77.
6. Guedj,M. et al. (2006) A fast, unbiased and exact allelic test for case-control association studies. Hum. Hered., 61, 210-221.
7. Storey,J.D. et al. (2003) Statistical significance for genomewide studies. Proc. Natl Acad. Sci. USA, 100, 9440-9445.