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* The Analysis of Gene Expression Data: Methods and Software (Statistics for Biology and Health) ↠ PDF Read by ! Springer eBook or Kindle ePUB Online free. The Analysis of Gene Expression Data: Methods and Software (Statistics for Biology and Health) 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. This book presents practical approaches for the analysis of data from gene expression micro-arrays. The materials presented cover a range of software tools designed for varied audiences.]
| Title | : | The Analysis of Gene Expression Data: Methods and Software (Statistics for Biology and Health) |
| Author | : | |
| Rating | : | 4.70 (995 Votes) |
| Asin | : | 0387955771 |
| Format Type | : | paperback |
| Number of Pages | : | 456 Pages |
| Publish Date | : | 2015-08-08 |
| Language | : | English |
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. This book presents practical approaches for the analysis of data from gene expression micro-arrays. The materials presented cover a range of software tools designed for varied audiences.
wiredweird said 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 scattered, if present at. "Not the best but still good" according to Falling Maple. Some of the software commands in this book are already outdated, esp.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.
Procedures are described and their implementations illustrated. F. Generally, each contributor selected a different but interesting set of data to demonstrate the approach." Journal of Statsitical Software, April 2005"The editors state that the goal of this book is ‘to provide guidance to practitioners in deciding which statistical approaches and packages may be indicated for their projects … . 23/3, August 2003"The opening chapter contributed by the editors is an excellent overview of the field and the threads that make it upThere is a definite hands-on character to all the presentations. van den Heuvel, Kwantitatieve Methoden, April, 2004)"Gene expression microarray technology was introduced in 1995, but it is only in 1998 that the scientific community started using this tool … . The goal of the book is to provide guidance to practitioners in the technique
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