AnnoPred specifications

Unique identifier:
OMICS_19027
Interface:
Command line interface
Input data:
Some GWAS Summary statistics.
Output data:
A set of files including two types of AnnoPred polygenic risk scores, phenotypes of testing data, prediction accuracy, posterior expectation estimation of the effect size of each snp.
Programming languages:
Python
Stability:
Stable
Maintained:
Yes
Software type:
Framework/Library
Restrictions to use:
None
Input format:
TXT
Operating system:
Unix/Linux
Computer skills:
Advanced
Requirements:
h5py, plinkio, scipy, numpy

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AnnoPred distribution

download

AnnoPred support

Maintainer

  • Hongyu Zhao <>

Additional information

Manual: https://github.com/yiminghu/AnnoPred/blob/master/doc/Manual.txt

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Publications

Institution(s)

Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Yale College, New Haven, CT, USA; Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA; Clinical Epidemiology Research Center (CERC), Veterans Affairs (VA) Cooperative Studies Program, VA Connecticut Healthcare System, West Haven, CT, USA

Funding source(s)

Supported in part by the National Institutes of Health grants R01 GM59507, the VA Cooperative Studies Program of the Department of Veterans Affairs, Office of Research and Development, and the Yale World Scholars Program sponsored by the China Scholarship Council.

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