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Titlebook: Epigenome-Wide Association Studies; Methods and Protocol Weihua Guan Book 2022 Springer Science+Business Media, LLC, part of Springer Natur

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發(fā)表于 2025-3-21 19:04:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Epigenome-Wide Association Studies
副標(biāo)題Methods and Protocol
編輯Weihua Guan
視頻videohttp://file.papertrans.cn/314/313257/313257.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書(shū)名稱Methods in Molecular Biology
圖書(shū)封面Titlebook: Epigenome-Wide Association Studies; Methods and Protocol Weihua Guan Book 2022 Springer Science+Business Media, LLC, part of Springer Natur
描述.This volume details features of DNA methylation data, data processing pipelines, quality control measures, data normalization, and to discussions of statistical methods for data analysis, control of confounding and batch effects, and identification of differentially methylated regions. Chapters focus on microarray-based methylation measures and sequence-based measures. Written in the highly successful .Methods in Molecular Biology .series format, chapters include introductions to their respective topics, lists of the necessary methodologies and software packages, step-by-step, readily reproducible analysis pipelines, and tips on troubleshooting and avoiding known pitfalls...?.Authoritative and cutting-edge, .Epigenome- Wide Association Studies: Methods and Protocols: .aims to be a useful practical guide to researches to help further their study in this field.?.
出版日期Book 2022
關(guān)鍵詞Illumina Infiniumn arrays; EWASHER; DNA methylation; meQTL; whole-genome bisulfite sequencing
版次1
doihttps://doi.org/10.1007/978-1-0716-1994-0
isbn_softcover978-1-0716-1996-4
isbn_ebook978-1-0716-1994-0Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2022
The information of publication is updating

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Application of Correlation Pre-Filtering Neural Network to DNA Methylation Data: Biological Aging P 20,000 top correlated DNA methylation features and trained by 1810 healthy samples from GEO database. The input data format and the instructions for parser and . model are detailed in this chapter. Followed by two potential uses, age acceleration detection and unknown age prediction are discussed.
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https://doi.org/10.1007/978-1-0716-1994-0Illumina Infiniumn arrays; EWASHER; DNA methylation; meQTL; whole-genome bisulfite sequencing
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Using R for Cell-Type Composition Imputation in Epigenome-Wide Association Studies,Adjusting cell type composition is challenging but critical in epigenome-wide association studies (EWAS). In this chapter, we describe how to apply reference-based and reference-free methods in R to impute cell type composition in whole blood samples.
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Imagined Belonging and the Irish Diaspora,nt, because the methylome has the potential for large effects in disease etiology. There are several quantification methods of methylation level at each CpG site for a given sample, which include .-value, M-value, and N-value. The performance of three quantification methods of methylation levels has
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