onlineFDR

The software tool 'onlineFDR' addresses the challenge of conducting hypothesis testing in biological research, particularly in continually expanding data repositories. This tool is based on procedures proposed by Javanmard and Montanari that control the False Discovery Rate (FDR) for online hypothesis testing. The R package, 'onlineFDR,' is designed to implement these procedures and includes wrapper functions for their application to either a historical dataset or a dynamically growing data repository.

Topic

Genotype and phenotype

Detail

  • Operation: Genotyping;Statistical calculation

  • Software interface: Library

  • Language: R

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: 2.11.0

  • Credit: Yhe Medical Research Council, the Biometrika Trust, Outlier Research in Business (iORB) grant from the USC Marshall School of Business (2018), a Google Faculty Research award.

  • Input: -

  • Output: -

  • Contact: David S. Robertson david.robertson@mrc-bsu.cam.ac.uk

  • Collection: -

  • Maturity: Mature

Publications

  • onlineFDR: an R package to control the false discovery rate for growing data repositories.
  • Robertson DS, et al. onlineFDR: an R package to control the false discovery rate for growing data repositories. onlineFDR: an R package to control the false discovery rate for growing data repositories. 2019; 35:4196-4199. doi: 10.1093/bioinformatics/btz191
  • https://doi.org/10.1093/bioinformatics/btz191
  • PMID: 30873526
  • PMC: PMC6792083

Download and documentation

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