The Analysis of Gene Expression Data: Methods and Software (Statistics for Biology and Health) by Giovanni Parmigiani (PDF)

Description

This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐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 scattered, if present at all, to hold my interest.If you want the biological or medical answers from the programs without worrying too much about how they’re derived, maybe this book will help you. Or maybe not, I’m not the one to judge – three stars, just because I had to give some number.

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⭐Some of the software commands in this book are already outdated, esp.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.

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