Computational and Statistical Approaches to Genomics

Features

• Cover Type: Hard Cover with 416 pages
• Published by: Springer
• Edition: 2nd Edition May 4, 2006
• Written in: English
• ISBN 10 Number: 0387262873
• ISBN 13 Number: 978-0387262871
• Book Dimensions: 9.4 x 6 x 1.2 inches
• Weighs: 1.8 pounds

Product Description


The 2^nd edition of this book adds 8 new contributors to reflect a modern cutting edge approach to genomics. The expanded scope includes coverage of statistical issues on single nucleotide polymorphism analysis array, CGH analysis, SAGE analysis, gene shaving and related methods for microarray data analysis, and cross-hybridization issues on oligo arrays. The authors of the 17 original chapters have updated the contents of their chapters, including references, on such topics as the development of novel engineering, statistical and computational principles, as well as methods, models, and tools from these disciplines applied to genomics.

About The Author
Wei Zhang is an Associate Professor in the Cancer Genomics Laboratory, University of Texas M.D. Anderson Cancer Center Ilya Shmulevich is an Assistant Professor in the Cancer Genomics Laboratory, University of Texas M.D. Anderson Cancer Center. --This text refers to the Hardcover edition.

Reader Reviews
This review is from: Computational and Statistical Approaches to Genomics (Hardcover) "Typically a reader obtains their first impression of a new book by identifying the authors, the title and the blurb on the back, in that order, and to follow this algorithm would be to have the reader expect that the book is about statistical analysis in microarray experiments, alone. Even a cursory examination of the table of contents and skimming chapters and the color plates might perpetuate this view, but actually the book is much more than that" From- Cancer Biology and Therapy Reviewed by- Michael N. Liebman