Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

被引：0
|
作者：
Mickael Guedj
Stephane Robin
Alain Celisse
Gregory Nuel
机构：
[1] University of Evry,Statistics and Genome laboratory, CNRS UMR8071, INRA U1152
[2] AgroParisTech,undefined
[3] Statistics and Genome group,undefined
[4] UMR INRA 518,undefined
[5] University Paris Descartes,undefined
[6] MAP5,undefined
[7] UMR CNRS 8145,undefined
[8] Statistics for Systems Biology Group,undefined
来源：
BMC Bioinformatics | / 10卷
关键词：
False Discovery Rate; Kernel Estimator; Alternative Distribution; True Null Hypothesis; Local False Discovery Rate;
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