High-Dimensional Data Analysis in Cancer Research

Li, Xiaochun (EDT); Xu, Ronghui (EDT)

ISBN 10: 1441924140 / ISBN 13: 9781441924148

Published by Springer, 2010

Seller Inventory # 12064119-n

Synopsis:

This volume presents the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data. It poses new challenges and calls for scalable solutions.

From the Back Cover:

With the advent of high-throughput technologies, various types of high-dimensional data have been generated in recent years for the understanding of biological processes, especially processes that relate to disease occurrence or management of cancer.  Motivated by these important applications in cancer research, there has been a dramatic growth in the development of statistical methodology in the analysis of high-dimensional data, particularly related to regression model selection, estimation and prediction.

High-Dimensional Data Analysis in Cancer Research, edited by Xiaochun Li and Ronghui Xu, is a collective effort to showcase statistical innovations for meeting the challenges and opportunities uniquely presented by the analytical needs of high-dimensional data in cancer research, particularly in genomics and proteomics.  All the chapters included in this volume contain interesting case studies to demonstrate the analysis methodology.

High-Dimensional Data Analysis in Cancer Research is an invaluable reference for
researchers, statisticians, bioinformaticians, graduate students and data analysts working in the fields of cancer research.

Bibliographic Details

Title: High-Dimensional Data Analysis in Cancer ...
Publisher: Springer
Publication Date: 2010
Binding: Soft cover
Condition: New