rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Epigenome-Wide Association Studies
    sub title: Methods and Protocols
  name:
    name part: Guan, Weihua.
    role:
      role term: edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 1 Online-Ressource (X, 229 Seiten) 63 Illustrationen, 45 Illustrationen in Farbe
  abstract: 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. .
  table of contents: 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.
  note: edited by Weihua Guan.
  subject:
    topic: Medical genetics
  subject:
    topic: Medical Genetics
  classification: RB155-155.8
  classification: 616.042
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    note: Druckausgabe
  related item:
    note: Druckausgabe
  related item:
    note: Druckausgabe
  related item:
    title info:
      title: Methods in Molecular Biology, 2432
  identifier: 9781071619940
  identifier: https://doi.org/10.1007/978-1-0716-1994-0
  record info:
    record creation date: 220503
    record change date: 20231224201455.0
    record identifier: 9947824672006443