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High-Dimensional Data Analysis in Cancer Research Softcover reprint of hardcover 1st ed. 2009 Edition
Author(s): Xiaochun Li (Editor), Ronghui Xu
- Publisher: Springer
- Publication Date: 19 Nov. 2010
- Edition: Softcover reprint of hardcover 1st ed. 2009
- Language: English
- Print length: 400 pages
- ISBN-10: 1441924140
- ISBN-13: 9781441924148
Book Description
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.
Editorial Reviews
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 Softcover reprint of hardcover 1st ed. 2009 Edition, 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 Softcover reprint of hardcover 1st ed. 2009 Edition is an invaluable reference for
researchers, statisticians, bioinformaticians, graduate students and data analysts working in the fields of cancer research.
