Sandrine Dudoit and Mark J. van der Laan
Springer Series in Statistics
Order: [Springer] [Amazon]
CAVEAT EMPTOR: This website is still in draft form and incomplete.
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WWW
companion
"Inside the book"
Cover [PDF]
Front matter [PDF]
Preface [PDF]
Table of contents [PDF]
List of figures [PDF]
List of tables [PDF]
References [PDF]
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Supplements
Chapter 7.
Resampling-Based Empirical Bayes Multiple Testing Procedures for
Controlling Generalized Tail Probability Error Rates
Section 9.2. Apolipoprotein AI experiment of Callow et al. (2000)
Chapter 10. Multiple Tests of Association with Biological Annotation Metadata
Chapter 12. Genetic Mapping of Complex Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project
Appendix C. SAS Code
Software
The multiple testing procedures proposed in this book are implemented in the R package multtest, released as part of the Bioconductor Project.
multtest - Resampling-based multiple hypothesis testing
Authors: Katherine S. Pollard, Yongchao Ge, Sandra Taylor, and Sandrine Dudoit
Maintainer: Katherine S. Pollard
Bioconductor Release 2.1, multtest package Version 1.18.0: Download
K. S. Pollard, S. Dudoit, and M. J. van der Laan (2005). Multiple testing procedures: the multtest package and applications to genomics. In R. C. Gentleman, V. J. Carey, W. Huber, R. Irizarry, and S. Dudoit (eds), Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Springer, New York, Chapter 15, p. 249-271. [Book website] [Tech report #164]
*** ADD: R News
Slides
Multiple Testing Procedures with Applications to Genomics
Part I. Motivation and Overview. [1x1] [2x2]
Part II. Methodology. [1x1] [2x2]
Part III. Applications to Genomics and Software Implementation. [1x1] [2x2]
Errata
Links
Sandrine Dudoit [Homepage] [Selected Works]
Mark J. van der Laan [Homepage] [Selected Works]
Interdepartmental Group in Biostatistics, University of California, Berkeley
UC Berkeley Division of Biostatistics Working Papers Series
The R Project
The Bioconductor Project
Bioconductor Project Working Papers Series
Statistical Applications in Genetics and Molecular Biology
The International Journal of Biostatistics
*** ADD
Section 9.2. Apolipoprotein AI experiment of Callow et al. (2000)
Chapter 10. Multiple Tests of Association with Biological Annotation Metadata
Chapter 12. Genetic Mapping of Complex Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project
Appendix C. SAS Code
Software
The multiple testing procedures proposed in this book are implemented in the R package multtest, released as part of the Bioconductor Project.
multtest - Resampling-based multiple hypothesis testing
Authors: Katherine S. Pollard, Yongchao Ge, Sandra Taylor, and Sandrine Dudoit
Maintainer: Katherine S. Pollard
Bioconductor Release 2.1, multtest package Version 1.18.0: Download
K. S. Pollard, S. Dudoit, and M. J. van der Laan (2005). Multiple testing procedures: the multtest package and applications to genomics. In R. C. Gentleman, V. J. Carey, W. Huber, R. Irizarry, and S. Dudoit (eds), Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Springer, New York, Chapter 15, p. 249-271. [Book website] [Tech report #164]
*** ADD: R News
Slides
Multiple Testing Procedures with Applications to Genomics
Part I. Motivation and Overview. [1x1] [2x2]
Part II. Methodology. [1x1] [2x2]
Part III. Applications to Genomics and Software Implementation. [1x1] [2x2]
Errata
Links
Sandrine Dudoit [Homepage] [Selected Works]
Mark J. van der Laan [Homepage] [Selected Works]
Interdepartmental Group in Biostatistics, University of California, Berkeley
UC Berkeley Division of Biostatistics Working Papers Series
The R Project
The Bioconductor Project
Bioconductor Project Working Papers Series
Statistical Applications in Genetics and Molecular Biology
The International Journal of Biostatistics
*** ADD