Repository logo
 

onlineFDR: an R package to control the false discovery rate for growing data repositories.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Robertson, David S 
Wildenhain, Jan 
Javanmard, Adel 
Karp, Natasha A 

Abstract

SUMMARY: In many areas of biological research, hypotheses are tested in a sequential manner, without having access to future P-values or even the number of hypotheses to be tested. A key setting where this online hypothesis testing occurs is in the context of publicly available data repositories, where the family of hypotheses to be tested is continually growing as new data is accumulated over time. Recently, Javanmard and Montanari proposed the first procedures that control the FDR for online hypothesis testing. We present an R package, onlineFDR, which implements these procedures and provides wrapper functions to apply them to a historic dataset or a growing data repository. AVAILABILITY AND IMPLEMENTATION: The R package is freely available through Bioconductor (http://www.bioconductor.org/packages/onlineFDR). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Description

Keywords

Software

Journal Title

Bioinformatics

Conference Name

Journal ISSN

1367-4803
1367-4811

Volume Title

35

Publisher

Oxford University Press (OUP)

Rights

All rights reserved
Sponsorship
Biometrika Trust (Unknown)