Which methods to choose to correct cell types in genome-scale blood-derived DNA methylation data?

BMC Bioinformatics

Poster Presentation

Julie SL Wang¹  Akhilesh Kaushal²  Wilfried JJ Karmaus²  Hongmei Zhang² 

[1] Division of Environmental Health & Occupational Medicine, National Health Research Institutes, 360, Miaoli, Taiwan;Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, 38152, Memphis, TN, USA;

关键词: Simulation Study;    Latent Variable;    High Agreement;    Arsenic Exposure;    High Throughput Method;   

DOI  :  10.1186/1471-2105-16-S15-P7

来源: Springer

【 授权许可】

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© Kaushal et al. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.