InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research

The proposition of cancer cells in a tumor sample, named as tumor purity, is an intrinsic factor of tumor samples and has potentially great influence in variety of analyses including differential methylation, subclonal deconvolution and subtype clustering. InfiniumPurify is an integrated R package f...

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Detalles Bibliográficos
Autores principales: Qin, Yufang, Feng, Hao, Chen, Ming, Wu, Hao, Zheng, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chongqing Medical University 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147081/
https://www.ncbi.nlm.nih.gov/pubmed/30258934
http://dx.doi.org/10.1016/j.gendis.2018.02.003
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author Qin, Yufang
Feng, Hao
Chen, Ming
Wu, Hao
Zheng, Xiaoqi
author_facet Qin, Yufang
Feng, Hao
Chen, Ming
Wu, Hao
Zheng, Xiaoqi
author_sort Qin, Yufang
collection PubMed
description The proposition of cancer cells in a tumor sample, named as tumor purity, is an intrinsic factor of tumor samples and has potentially great influence in variety of analyses including differential methylation, subclonal deconvolution and subtype clustering. InfiniumPurify is an integrated R package for estimating and accounting for tumor purity based on DNA methylation Infinium 450 k array data. InfiniumPurify has three main functions getPurity, InfiniumDMC and InfiniumClust, which could infer tumor purity, differential methylation analysis and tumor sample cluster accounting for estimated or user-provided tumor purities, respectively. The InfiniumPurify package provides a comprehensive analysis of tumor purity in cancer methylation research.
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spelling pubmed-61470812018-09-26 InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research Qin, Yufang Feng, Hao Chen, Ming Wu, Hao Zheng, Xiaoqi Genes Dis Article The proposition of cancer cells in a tumor sample, named as tumor purity, is an intrinsic factor of tumor samples and has potentially great influence in variety of analyses including differential methylation, subclonal deconvolution and subtype clustering. InfiniumPurify is an integrated R package for estimating and accounting for tumor purity based on DNA methylation Infinium 450 k array data. InfiniumPurify has three main functions getPurity, InfiniumDMC and InfiniumClust, which could infer tumor purity, differential methylation analysis and tumor sample cluster accounting for estimated or user-provided tumor purities, respectively. The InfiniumPurify package provides a comprehensive analysis of tumor purity in cancer methylation research. Chongqing Medical University 2018-02-21 /pmc/articles/PMC6147081/ /pubmed/30258934 http://dx.doi.org/10.1016/j.gendis.2018.02.003 Text en © 2018 Chongqing Medical University. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Qin, Yufang
Feng, Hao
Chen, Ming
Wu, Hao
Zheng, Xiaoqi
InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title_full InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title_fullStr InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title_full_unstemmed InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title_short InfiniumPurify: An R package for estimating and accounting for tumor purity in cancer methylation research
title_sort infiniumpurify: an r package for estimating and accounting for tumor purity in cancer methylation research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147081/
https://www.ncbi.nlm.nih.gov/pubmed/30258934
http://dx.doi.org/10.1016/j.gendis.2018.02.003
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