JSS Research Series in Statistics

Estimation and Selection in High-Dimensional Genomic Studies

Multiple Testing, Gene Ranking, and Classification

Authors: Noma, Hisashi, Matsui, Shigeyuki

  • Is one of the first books to focus on gene screening in biomedical studies
  • Gives an overview of the state of the art of statistical analysis in gene screening
  • Provides a more relevant and effective unified framework for statistical analysis for gene screening
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eBook  
  • ISBN 978-4-431-55567-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. 51,99 €
price for Spain (gross)
  • Due: July 23, 2018
  • ISBN 978-4-431-55566-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book provides an overview of the statistical methods used in genome-wide screening of relevant genomic features or genes. Gene screening can facilitate deeper understanding of disease biology at the molecular level, possibly leading to discovery of new molecular targets for developing new treatments and developing diagnostic tests to predict patients’ prognosis or response to treatment. The most common approach to such gene screening studies is to apply multiple univariate analysis based on separate statistical tests for individual genes to test the null hypothesis of no association with clinical variables. This book first provides an overview of the state of the art of such multiple testing methodologies for gene screening, including frequentist multiple tests, empirical Bayes, and full-Bayes model-based methods for controlling the family-wise error rate or false discovery rate. Optimal discovery procedures and model-based variants are also discussed. Although great endeavor has been directed toward developing multiple testing methods, there are other, more relevant and effective analyses that should be given much attention in gene screening, including gene ranking, estimation of effect sizes, and classification accuracy based on selected genes. The core contents of this book provide a framework for integrated gene screening analysis based on hierarchical mixture modeling and empirical Bayes. Within this framework effective tools for multiple testing, ranking, estimation of effect size, and classification accuracy are derived. Methods for sample size determination for gene screening studies are also provided. With this content, the book is certain to expand the existing framework of statistical analysis based on multiple testing for gene screening to one based on estimation and selection.

Buy this book

eBook  
  • ISBN 978-4-431-55567-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. 51,99 €
price for Spain (gross)
  • Due: July 23, 2018
  • ISBN 978-4-431-55566-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Estimation and Selection in High-Dimensional Genomic Studies
Book Subtitle
Multiple Testing, Gene Ranking, and Classification
Authors
Series Title
JSS Research Series in Statistics
Copyright
2018
Publisher
Springer Japan
Copyright Holder
The Author(s)
Distribution Rights
Distribution world wide
eBook ISBN
978-4-431-55567-4
Softcover ISBN
978-4-431-55566-7
Series ISSN
2364-0057
Edition Number
1
Topics