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By: Arun Jagota
ISBN: 097002973X
Publisher: Bioinformatics By The Bay Press
Release Date: 07 November, 2001
Bioscience book rank: 2074938
The preceding reviews contain a lot of truth. To make it simple:<br>1. One star for composing a short summary of quite many (some, not all) formulae and methods used in MA data analysis;<br>2. One star for not adding too much noise (simple text);<br>3. No star for too poor approach - no discussion of the presented contents, no hints on effectivenes/efficiency of the techniques;<br>4. No star for poor and insufficient references;<br>5. No star for poor editorial form - use of unproper text editor for such publications.<br>This 'book' is not a handbook. This is a simple recapitulation of the methods used by others, with no detailed description. And it does not require strong mathematical background to understand (not so sophisticated one, truly).<br>Good if you know (almost) all this stuff.<br>Bad if you want to learn.

I am a biologist working on microarray data. When I saw the title, I believed this book will givw us a description, basis and practical applications for most of microarray analysis methods. However, after I read this, I feel frustrated. This book is full of mathematical terms. The author just mentioned these terms without giving out some explanations, and no background for these mathematical stuff is given. Even though he gave beautiful title for each chapter like " Identifying genes expressed differently in two populations", he did not tell you how to do so, how to use software. He just mentioned a lot of odd mathematical terms, no examples, no intuitive description of what these terms mean. <br>The author should add subtitle like " NOT for biologists and those who have not taken advanced maths" to the book's cover.<p>I strongly recommend that the practicing scientist do not buy this. try a more friendly version like " A biologist guide to analysis of DNA microarray data. I prefer to give it zero star if possible.

This is a very thin book, and I use the term "book" loosely. It appears to be a hastily-typeset and published collection of terse lecture notes in near-outline form. It doesn't explain microarray data analysis, but is rather more of an annotated listing of statistical methods useful in analyzing microarray data. For the biologist looking for conceptual content, it is nearly useless. It lists a lot of equations without explaining how and why they are used, or under what circumstances. A much better book is Steen Knudsen's A Biologists Guide to Analysis of DNA Microarray Data. Paradoxically, to find Jagota's book useful, you would have to already understand its content. This book might therefore serve as a quick reference for seasoned statisticians who are suddenly tasked with having to work on someone else's microarray project. This serves to show how new the field of microarray data analysis is, and how sorely a good and thorough treatment of the subject is needed.
By: UNKNOWN
ISBN:
Publisher: Business Communications Company, Inc.
Release Date: 25 July, 2005
Bioscience book rank:
By: Catherine Ball, Alvis Brazma, Helen Causton, Steve Chervitz, Ron Edgar, Pascal Hingamp, John C. Matese, Helen Parkinson, John Quackenbush, Martin Ringwald
ISBN:
Publisher: Thomson Gale
Release Date: 17 October, 2005
Bioscience book rank:
By: UNKNOWN
ISBN:
Publisher: Biotech Patent News
Release Date: 31 July, 2005
Bioscience book rank:
By: UNKNOWN
ISBN:
Publisher: Business Communications Company, Inc.
Release Date: 14 July, 2006
Bioscience book rank: 4776069
By: Shaoguang Li, Li Dongguang
ISBN: 9812790454
Publisher: World Scientific Publishing Company
Release Date: 30 November, 2008
Bioscience book rank:
By: UNKNOWN
ISBN:
Publisher: Biotech Patent News
Release Date: 28 July, 2005
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By: Lin Wang, Wölfl Stefan, Minghu Jiang
ISBN: 3540743405
Publisher: Springer
Release Date: 01 March, 2008
Bioscience book rank:
By: UNKNOWN
ISBN:
Publisher: Business Communications Company, Inc.
Release Date: 01 June, 2005
Bioscience book rank:
By: Robert S. Matson
ISBN: 1420046659
Publisher: CRC
Release Date: 14 November, 2008
Bioscience book rank:
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