covmodfdr specifications

Unique identifier:
OMICS_11324
Software type:
Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes
Name:
covariate-modulated local false discovery rate
Interface:
Command line interface
Input data:
N-dimensional vector of two-tailed SNP p-values and N x Q matrix of SNP annotations, where Q is the number of annotation categories
Programming languages:
R
Stability:
Stable

versioning

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covmodfdr support

Maintainer

  • Wesley Thompson <>

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Credits

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Publications

Institution(s)

Computational Science Research Center, San Diego State University, San Diego, CA, USA; Cognitive Sciences Graduate Program, University of California at San Diego, La Jolla, CA, USA; Department of Mathematics and Statistics, San Diego State University, San Diego, CA, USA; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Multimodal Imaging Laboratory, University of California at San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California at San Diego, La Jolla, CA, USA

Funding source(s)

This work was supported by NIH grants R01DE019656, R01HD061414, R01MH100351, and RGM104400-01A1.

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