國立虎尾科技大學 |

Epigenome-Wide Association Studies = Methods and Protocols /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Epigenome-Wide Association Studies/ edited by Weihua Guan.
其他題名:	Methods and Protocols /
其他作者:	Guan, Weihua.
面頁冊數:	X, 229 p. 63 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Medical Genetics. -
電子資源:	https://doi.org/10.1007/978-1-0716-1994-0
ISBN:	9781071619940

Epigenome-Wide Association Studies = Methods and Protocols /
Epigenome-Wide Association StudiesMethods and Protocols /[electronic resource] :edited by Weihua Guan. - 1st ed. 2022. - X, 229 p. 63 illus., 45 illus. in color.online resource. - Methods in Molecular Biology,24321940-6029 ;. - Methods in Molecular Biology,2540.

Quantification Methods for Methylation Levels in Illumina Arrays -- Evaluating Reliability of DNA Methylation Measurement -- Accurate measurement of DNA methylation: Challenges and Bias Correction. Using R for Cell-Type Composition Imputation in Epigenome-Wide Association Studies -- Cell Type-Specific Signal Analysis in Epigenome-Wide Association Studies -- Controlling Batch Effect in Epigenome-Wide Association Study -- DNA methylation and Atopic Diseases -- Meta-analysis for Epigenome-Wide Association Studies -- Increase the Power of Epigenome-Wide Association Testing Using ICC-Based Hypothesis Weighting -- A Review of High-dimensional Mediation Analyses in DNA Methylation Studies -- DNA Methylation Imputation across Platforms -- Workflow to mine frequent DNA Co-Methylation Clusters in DNA Methylome Data -- BCurve: Bayesian Curve Credible Bands Approach for Detection of Differentially Methylated Regions -- Predicting chronological age from DNA methylation data: A machine learning approach for small datasets and limited predictors -- Application of Correlation Pre-Filtering Neural Network to DNA Methylation Data: Biological Aging Prediction -- Differential Methylation Analysis for Bisulfite Sequencing (BS-seq) Data.

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. .

ISBN: 9781071619940

Standard No.: 10.1007/978-1-0716-1994-0doiSubjects--Topical Terms:

1366169
Medical Genetics.

LC Class. No.: RB155-155.8

Dewey Class. No.: 616.042

Epigenome-Wide Association Studies = Methods and Protocols /
LDR:03412nam a22003855i 4500 001 1094305
003 DE-He213
005 20220503232303.0
007 cr nn 008mamaa
008 221228s2022 xxu| s |||| 0|eng d
020 $a 9781071619940 $9 978-1-0716-1994-0
024 7 $a 10.1007/978-1-0716-1994-0 $2 doi
035 $a 978-1-0716-1994-0
050 4 $a RB155-155.8
072 7 $a MFN $2 bicssc
072 7 $a MED107000 $2 bisacsh
072 7 $a MFN $2 thema
082 0 4 $a 616.042 $2 23
245 1 0 $a Epigenome-Wide Association Studies $h [electronic resource] : $b Methods and Protocols / $c edited by Weihua Guan.
250 $a 1st ed. 2022.
264 1 $a New York, NY : $b Springer US : $b Imprint: Humana, $c 2022.
300 $a X, 229 p. 63 illus., 45 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Methods in Molecular Biology, $x 1940-6029 ; $v 2432
505 0 $a Quantification Methods for Methylation Levels in Illumina Arrays -- Evaluating Reliability of DNA Methylation Measurement -- Accurate measurement of DNA methylation: Challenges and Bias Correction. Using R for Cell-Type Composition Imputation in Epigenome-Wide Association Studies -- Cell Type-Specific Signal Analysis in Epigenome-Wide Association Studies -- Controlling Batch Effect in Epigenome-Wide Association Study -- DNA methylation and Atopic Diseases -- Meta-analysis for Epigenome-Wide Association Studies -- Increase the Power of Epigenome-Wide Association Testing Using ICC-Based Hypothesis Weighting -- A Review of High-dimensional Mediation Analyses in DNA Methylation Studies -- DNA Methylation Imputation across Platforms -- Workflow to mine frequent DNA Co-Methylation Clusters in DNA Methylome Data -- BCurve: Bayesian Curve Credible Bands Approach for Detection of Differentially Methylated Regions -- Predicting chronological age from DNA methylation data: A machine learning approach for small datasets and limited predictors -- Application of Correlation Pre-Filtering Neural Network to DNA Methylation Data: Biological Aging Prediction -- Differential Methylation Analysis for Bisulfite Sequencing (BS-seq) Data.
520 $a 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. .
650 1 4 $a Medical Genetics. $3 1366169
650 0 $a Medical genetics. $3 678508
700 1 $a Guan, Weihua. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1402430
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781071619933
776 0 8 $i Printed edition: $z 9781071619957
776 0 8 $i Printed edition: $z 9781071619964
830 0 $a Methods in Molecular Biology, $x 1940-6029 ; $v 2540 $3 1387604
856 4 0 $u https://doi.org/10.1007/978-1-0716-1994-0
912 $a ZDB-2-PRO
950 $a Springer Protocols (Springer-12345)