<p>Using the swfdr package to estimate false discovery rates conditional on covariates</p>

Simina M. Boca; Tomasz Konopka; Leah Jager; Jeffrey Leek

doi:10.7490/f1000research.1118250.1

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Boca SM, Konopka T, Jager L and Leek J. Using the swfdr package to estimate false discovery rates conditional on covariates [version 1; not peer reviewed]. F1000Research 2020, 9:998 (slides) (https://doi.org/10.7490/f1000research.1118250.1)

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Using the swfdr package to estimate false discovery rates conditional on covariates

Simina M. Boca¹, Tomasz Konopka, Leah Jager, Jeffrey Leek

Published 18 Aug 2020 (https://doi.org/10.7490/f1000research.1118250.1)

Author Affiliations

¹ Georgetown University Medical Center, USA

Copyright © 2020 Boca SM et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 18 Aug 2020

Using the swfdr package to estimate false discovery rates conditional on covariates
[version 1; not peer reviewed]

Simina M. Boca¹, Tomasz Konopka, Leah Jager, Jeffrey Leek

Author Affiliations

¹ Georgetown University Medical Center, USA

Presented at

Bioconductor Annual Conference 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

multiple testing, false discovery rates, statistical computing, genome-wide association study

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