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KMgene: a unified R package for gene-based association analysis for complex traits
SUMMARY: In this report, we introduce an R package KMgene for performing gene-based association tests for familial, multivariate or longitudinal traits using kernel machine (KM) regression under a generalized linear mixed model framework. Extensive simulations were performed to evaluate the validity...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6246171/ https://www.ncbi.nlm.nih.gov/pubmed/29438558 http://dx.doi.org/10.1093/bioinformatics/bty066 |
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author | Yan, Qi Fang, Zhou Chen, Wei |
author_facet | Yan, Qi Fang, Zhou Chen, Wei |
author_sort | Yan, Qi |
collection | PubMed |
description | SUMMARY: In this report, we introduce an R package KMgene for performing gene-based association tests for familial, multivariate or longitudinal traits using kernel machine (KM) regression under a generalized linear mixed model framework. Extensive simulations were performed to evaluate the validity of the approaches implemented in KMgene. AVAILABILITY AND IMPLEMENTATION: http://cran.r-project.org/web/packages/KMgene. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6246171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62461712018-11-27 KMgene: a unified R package for gene-based association analysis for complex traits Yan, Qi Fang, Zhou Chen, Wei Bioinformatics Applications Notes SUMMARY: In this report, we introduce an R package KMgene for performing gene-based association tests for familial, multivariate or longitudinal traits using kernel machine (KM) regression under a generalized linear mixed model framework. Extensive simulations were performed to evaluate the validity of the approaches implemented in KMgene. AVAILABILITY AND IMPLEMENTATION: http://cran.r-project.org/web/packages/KMgene. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-06-15 2018-02-09 /pmc/articles/PMC6246171/ /pubmed/29438558 http://dx.doi.org/10.1093/bioinformatics/bty066 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Yan, Qi Fang, Zhou Chen, Wei KMgene: a unified R package for gene-based association analysis for complex traits |
title | KMgene: a unified R package for gene-based association analysis for complex
traits |
title_full | KMgene: a unified R package for gene-based association analysis for complex
traits |
title_fullStr | KMgene: a unified R package for gene-based association analysis for complex
traits |
title_full_unstemmed | KMgene: a unified R package for gene-based association analysis for complex
traits |
title_short | KMgene: a unified R package for gene-based association analysis for complex
traits |
title_sort | kmgene: a unified r package for gene-based association analysis for complex
traits |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6246171/ https://www.ncbi.nlm.nih.gov/pubmed/29438558 http://dx.doi.org/10.1093/bioinformatics/bty066 |
work_keys_str_mv | AT yanqi kmgeneaunifiedrpackageforgenebasedassociationanalysisforcomplextraits AT fangzhou kmgeneaunifiedrpackageforgenebasedassociationanalysisforcomplextraits AT chenwei kmgeneaunifiedrpackageforgenebasedassociationanalysisforcomplextraits |