派博傳思國(guó)際中心

標(biāo)題: Titlebook: Epigenome-Wide Association Studies; Methods and Protocol Weihua Guan Book 2022 Springer Science+Business Media, LLC, part of Springer Natur [打印本頁(yè)]

作者: IU421    時(shí)間: 2025-3-21 19:04
書目名稱Epigenome-Wide Association Studies影響因子(影響力)




書目名稱Epigenome-Wide Association Studies影響因子(影響力)學(xué)科排名




書目名稱Epigenome-Wide Association Studies網(wǎng)絡(luò)公開度




書目名稱Epigenome-Wide Association Studies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Epigenome-Wide Association Studies被引頻次




書目名稱Epigenome-Wide Association Studies被引頻次學(xué)科排名




書目名稱Epigenome-Wide Association Studies年度引用




書目名稱Epigenome-Wide Association Studies年度引用學(xué)科排名




書目名稱Epigenome-Wide Association Studies讀者反饋




書目名稱Epigenome-Wide Association Studies讀者反饋學(xué)科排名





作者: Gorilla    時(shí)間: 2025-3-21 20:13
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.
作者: 武器    時(shí)間: 2025-3-22 03:07

作者: 狂怒    時(shí)間: 2025-3-22 05:58

作者: DEFT    時(shí)間: 2025-3-22 12:33
https://doi.org/10.1007/978-1-0716-1994-0Illumina Infiniumn arrays; EWASHER; DNA methylation; meQTL; whole-genome bisulfite sequencing
作者: Interferons    時(shí)間: 2025-3-22 15:01

作者: Interferons    時(shí)間: 2025-3-22 19:42
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.
作者: 鑒賞家    時(shí)間: 2025-3-22 23:02
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
作者: 火車車輪    時(shí)間: 2025-3-23 02:14

作者: 世俗    時(shí)間: 2025-3-23 06:44

作者: ANTE    時(shí)間: 2025-3-23 11:58

作者: 協(xié)定    時(shí)間: 2025-3-23 15:27
Designing Processes and Activities,d factors. Any difference in the measurement of DNA methylation, such as laboratory operation and sequencing platform, may lead to batch effects. With the accumulation of large-scale omics data, scientists are making joint efforts to generate and analyze omics data to answer various scientific quest
作者: 合唱團(tuán)    時(shí)間: 2025-3-23 22:02

作者: MAIM    時(shí)間: 2025-3-23 23:34

作者: Engulf    時(shí)間: 2025-3-24 02:48

作者: Arrhythmia    時(shí)間: 2025-3-24 08:14
https://doi.org/10.1007/b101439wide DNA methylation data (EWAS) have become the new standard for epigenetic studies in human populations. However, to date most epigenetic studies of mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for
作者: 碌碌之人    時(shí)間: 2025-3-24 12:57
https://doi.org/10.1007/b100518(PFR) method we have previously developed. We will start with a brief review of DNA methylation, genomic and epigenomic contexts where imputation has proven beneficial in practice, and statistical or computational methods proposed for DNA methylation in the recent literature (Subheading .). The rest
作者: Isthmus    時(shí)間: 2025-3-24 15:06
An Archaeology of History and Traditionn a daily basis, which in turn calls for the development of powerful bioinformatics tools and efficient workflows to analyze them. One of the approaches to address the “big data” issue is to mine highly correlated clusters/networks of biological molecules, which may provide rich yet hidden informati
作者: hedonic    時(shí)間: 2025-3-24 20:02
Rural New England in Time and Place the most popular for genome-wide profiling. A major goal in DNA methylation analysis is the detection of differentially methylated genomic regions under two different conditions. To accomplish this, many state-of-the-art methods have been proposed in the past few years; only a handful of these meth
作者: Perennial長(zhǎng)期的    時(shí)間: 2025-3-25 03:08
Conclusion An Archaeology of Manners,lication stems from the strong correlation that has been observed in humans between the methylation status of certain DNA loci and chronological age. While genome-wide methylation sequencing has been the most prominent approach in epigenetics research, recent studies have shown that targeted sequenc
作者: Contracture    時(shí)間: 2025-3-25 06:46
Buenos Aires: The Paris of South America, 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.
作者: Disk199    時(shí)間: 2025-3-25 08:04
,Postemancipation Developments 1834–1865,estion in functional epigenomics research is whether DNA methylation varies under different biological contexts. Thus, identifying differentially methylated loci/regions (DML/DMRs) is a key task in BS-seq data analysis. Here we describe detailed procedures to perform differential methylation analyse
作者: Endometrium    時(shí)間: 2025-3-25 12:27
978-1-0716-1996-4Springer Science+Business Media, LLC, part of Springer Nature 2022
作者: 考古學(xué)    時(shí)間: 2025-3-25 19:03
Epigenome-Wide Association Studies978-1-0716-1994-0Series ISSN 1064-3745 Series E-ISSN 1940-6029
作者: 可能性    時(shí)間: 2025-3-25 21:38
Quantification Methods for Methylation Levels in Illumina Arrays,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
作者: Demulcent    時(shí)間: 2025-3-26 04:14
Evaluating Reliability of DNA Methylation Measurement,umina Infinium HumanMethylation450 (HM450) and MethylationEPIC (EPIC) BeadChip are widely used microarray-based platforms for epigenome-wide association studies (EWASs). In this chapter, we will discuss the use of intraclass correlation coefficient (ICC) for assessing technical variations induced by
作者: neoplasm    時(shí)間: 2025-3-26 04:46

作者: 光亮    時(shí)間: 2025-3-26 09:00

作者: CLOUT    時(shí)間: 2025-3-26 16:07

作者: 陶醉    時(shí)間: 2025-3-26 18:37
DNA Methylation and Atopic Diseases,ssociation studies (GWAS) suggest that genetic variations only account for a small proportion of immunoglobulin E (IgE)-mediated type I hypersensitivity. Recently, epigenetics has gained attention as an approach to further understand the missing heritability and underpinning mechanisms of allergic d
作者: Magnificent    時(shí)間: 2025-3-26 21:05
Meta-Analysis for Epigenome-Wide Association Studies,avy burden of multiple testing of hundreds of thousands of DNA methylation markers, individual studies often have limited sample sizes and power. The EWAS meta-analysis is an approach that combines results from multiple studies on the same scientific question. It helps to improve statistical power b
作者: PHONE    時(shí)間: 2025-3-27 02:11

作者: confide    時(shí)間: 2025-3-27 06:51
A Review of High-Dimensional Mediation Analyses in DNA Methylation Studies,wide DNA methylation data (EWAS) have become the new standard for epigenetic studies in human populations. However, to date most epigenetic studies of mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for
作者: 飛鏢    時(shí)間: 2025-3-27 12:31
DNA Methylation Imputation Across Platforms,(PFR) method we have previously developed. We will start with a brief review of DNA methylation, genomic and epigenomic contexts where imputation has proven beneficial in practice, and statistical or computational methods proposed for DNA methylation in the recent literature (Subheading .). The rest
作者: Cervical-Spine    時(shí)間: 2025-3-27 16:44
Workflow to Mine Frequent DNA Co-methylation Clusters in DNA Methylome Data,n a daily basis, which in turn calls for the development of powerful bioinformatics tools and efficient workflows to analyze them. One of the approaches to address the “big data” issue is to mine highly correlated clusters/networks of biological molecules, which may provide rich yet hidden informati
作者: 記憶法    時(shí)間: 2025-3-27 20:39

作者: Ibd810    時(shí)間: 2025-3-28 00:46

作者: disrupt    時(shí)間: 2025-3-28 05:21
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.
作者: 珍奇    時(shí)間: 2025-3-28 06:58

作者: Graves’-disease    時(shí)間: 2025-3-28 11:34
Book 2022cible 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.?.
作者: entice    時(shí)間: 2025-3-28 18:29
A survey of knowledge-based systems,also show that eFORGE tissue-specific enrichment can be detected for sites below EWAS significance threshold. I develop on these and other analysis examples, extending our knowledge of eFORGE cell type- and tissue-specific enrichment results for different EWAS.
作者: sperse    時(shí)間: 2025-3-28 19:41
Cell Type-Specific Signal Analysis in Epigenome-Wide Association Studies,also show that eFORGE tissue-specific enrichment can be detected for sites below EWAS significance threshold. I develop on these and other analysis examples, extending our knowledge of eFORGE cell type- and tissue-specific enrichment results for different EWAS.
作者: larder    時(shí)間: 2025-3-29 02:37

作者: VEN    時(shí)間: 2025-3-29 05:02
Quantification Methods for Methylation Levels in Illumina Arrays,ch CpG site for a given sample, which include .-value, M-value, and N-value. The performance of three quantification methods of methylation levels has been examined with simulation study and 27K Illumina array data for obesity.
作者: nitric-oxide    時(shí)間: 2025-3-29 09:52
A Review of High-Dimensional Mediation Analyses in DNA Methylation Studies, mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for EWAS mediation analysis. In this chapter, we provide an overview of recent advances on high-dimensional mediation analysis, with application to two DNA methylation data.
作者: Awning    時(shí)間: 2025-3-29 12:33
https://doi.org/10.1007/978-94-015-8812-6y combining information from individual studies and reduce the chances of false positives. This chapter introduces commonly used meta-analysis methods and analytical tools with application to EWAS data.
作者: 爆炸    時(shí)間: 2025-3-29 19:27
The trace of the iterated resolvent kernel, testing. Compared to the traditional multiple testing procedure on a filtered CpG set, the proposed procedure circumvents the difficulty to determine the optimal ICC cutoff value and is overall more powerful. We illustrate the procedure and compare the power to classical multiple testing procedures using an example data.
作者: 贊美者    時(shí)間: 2025-3-29 20:16
,Postemancipation Developments 1834–1865,s for BS-seq using the Bioconductor package DSS. The analysis scheme in this chapter will guide researchers through differential methylation analyses by providing step-by-step instructions for analytical tools.
作者: RENIN    時(shí)間: 2025-3-30 01:22
1064-3745 ation advice from the experts.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 met
作者: 苦笑    時(shí)間: 2025-3-30 06:47

作者: SEEK    時(shí)間: 2025-3-30 10:29
https://doi.org/10.1007/b101439 mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for EWAS mediation analysis. In this chapter, we provide an overview of recent advances on high-dimensional mediation analysis, with application to two DNA methylation data.
作者: Chandelier    時(shí)間: 2025-3-30 14:55

作者: sclera    時(shí)間: 2025-3-30 19:48

作者: URN    時(shí)間: 2025-3-30 21:16

作者: PANG    時(shí)間: 2025-3-31 04:24

作者: 方便    時(shí)間: 2025-3-31 07:16
Designing Processes and Activities,tion between batches have been developed either by correcting based on known batch factors or by estimating directly from the output data. In this chapter, we will review and demonstrate several popular methods for batch effect correction and make practical recommendations in epigenome-wide association studies (EWAS).
作者: 傳染    時(shí)間: 2025-3-31 12:25
https://doi.org/10.1007/978-3-031-22669-4ental exposures. This chapter summarizes several large-scale epigenome-wide association studies (EWAS) on asthma and other allergic diseases and draws a blueprint for future analysis and research direction.




歡迎光臨 派博傳思國(guó)際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
连云港市| 庄浪县| 岳池县| 游戏| 霍林郭勒市| 田林县| 林口县| 白朗县| 新闻| 全南县| 广宗县| 盐山县| 虞城县| 宜兴市| 文昌市| 祁阳县| 永登县| 宝鸡市| 长宁区| 仙居县| 嘉兴市| 三明市| 洪泽县| 霍林郭勒市| 吉水县| 阿拉善左旗| 高平市| 房山区| 晋州市| 华坪县| 广宁县| 临沭县| 霍山县| 揭阳市| 张北县| 双流县| 霍州市| 绥阳县| 广平县| 神农架林区| 木兰县|