The Analysis of Gene Expression Data: Methods and Software (Statistics for Biology and Health)
Author | : | |
Rating | : | 4.61 (820 Votes) |
Asin | : | 0387955771 |
Format Type | : | paperback |
Number of Pages | : | 456 Pages |
Publish Date | : | 2017-04-14 |
Language | : | English |
DESCRIPTION:
Maybe good, just not for me I thumbed through a copy of this book, but I admit I haven't read it. It just doesn't meet my needs.It's about a number of software packages available for analyzing microarray and related kinds of data. Different sections of the book seemed to range from brief surveys to fairly detailed how-to chapters, by different authors, describing different packages.I'm interested in microarray data analysis, but I want the more theoretical material - the basic computations and the principles behind them. Details of statistical and analytic techniques were too. Not the best but still good Some of the software commands in this book are already outdated, esp. in bioconductor. If you need to analyze a microarray data and you do not know much about the algorithms, this book gives an overview what is available. To get more insights about the theory, can check out EXPLORATORY AND ANALYSIS OF DNA MICROARRAY AND PROTEIN ARRAY or the research papers published by the authors. There is no one best method for analyzing microarray data, so don't expect a miracle from this book or any others.
This book presents practical approaches for the analysis of data from gene expression micro-arrays. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The materials presented cover a range of software tools designed for varied audiences.
The book combines the advantages of both a tutorial in methods and catalogue for software. All of the software described is freely available to academic usersThe table of contents indicates the encyclopedic coverage, spanning a very broad spectrum of methods. Andrews, Short Book Reviews, Vol. Maronna, Statistical Papers, Vol. … The chapters that discuss the same statistical topics often have different approaches or focuses on the type of arrays. … The book is well written and I enjoyed reading the book. Lachenbruch, ISCB Newsletter, Issue 38, December, 2004)"This useful book about methods