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Preface

Published online by Cambridge University Press:  05 June 2013

Kim-Anh Do
Affiliation:
University of Texas, MD Anderson Cancer Center
Zhaohui Steve Qin
Affiliation:
Emory University, Atlanta
Marina Vannucci
Affiliation:
Rice University, Houston
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Summary

Providing genome-informed personalized treatment is an important goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This book is intended for statisticians who are interested in modeling and analyzing high-throughput data. It covers the development and application of rigorous statistical methods (Bayesian and non-Bayesian) in the analysis of high-throughput bioinformatics data that arise from problems in medical and cancer research and molecular and structural biology. The specific focus of the volume is to provide an overview of the current state of the art of methods to integrate novel high-throughput multiplatform bioinformatics data, for a better understanding of the functional consequences of genomic alterations. The introductory description of biological and technical principles behind multiplatform high-throughput experimentation may be helpful to statisticians who are new to this research area.

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Chapter
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Advances in Statistical Bioinformatics
Models and Integrative Inference for High-Throughput Data
, pp. xi - xvi
Publisher: Cambridge University Press
Print publication year: 2013

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  • Preface
  • Edited by Kim-Anh Do, Zhaohui Steve Qin, Emory University, Atlanta, Marina Vannucci, Rice University, Houston
  • Book: Advances in Statistical Bioinformatics
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139226448.001
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  • Preface
  • Edited by Kim-Anh Do, Zhaohui Steve Qin, Emory University, Atlanta, Marina Vannucci, Rice University, Houston
  • Book: Advances in Statistical Bioinformatics
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139226448.001
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preface
  • Edited by Kim-Anh Do, Zhaohui Steve Qin, Emory University, Atlanta, Marina Vannucci, Rice University, Houston
  • Book: Advances in Statistical Bioinformatics
  • Online publication: 05 June 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139226448.001
Available formats
×