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| View Larger Image | DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments (Biostatistics)
by David B. Allison, Grier P. Page, T. Mark Beasley, Jode W. Edwards
| | List Price: | $89.95 | | Price: | $77.59 | | You Save: | $12.36 (14%) |  | | Available: | Usually ships in 24 hours | | | | | Sales Rank: | 507322 | | Studio: | Chapman & Hall/CRC | | | Binding: | Hardcover | | Number Of Pages: | 392 | | Publication Date: | November 14, 2005 | | Publisher: | Chapman & Hall/CRC |
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Product Description
With contributions from distinguished experts in the field, DNA Microarrays and Related Genomics Techniques parallels the steps in conducting and analyzing a microarray experiment from conception to interpretation. This book explores critical aspects of designing a microarray experiment, including power and sample size. It assesses the validity of statistical methods and describes how to ensure the quality and integrity of data. In addition, the text discusses new methods for interpreting microarray data and examines the various issues associated with analysis. It also addresses the movement to make large high-dimensional datasets public for further analysis, and the associated methods. |
CUSTOMER REVIEWS (Average Customer Rating: 5.0 based on 1 review)
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Exquisite coverage of existing & developing methodologies 
An expansive tour of existing statistical methodologies used in microarray data analysis from contributed experts. What it does is deeply explore what people are using nowadays, cites references in each chapter beautifully, and gives the reader a solid footing as to the pros and cons of each technique presented. Each chapter delves deep enough, and by citing references extensively, one can go seek further detail from the source.
IMHO, this is probably one of the most professionally done books out there. By that I mean there is no fluff, just high quality content across the board. The intended audience is those having some computational background, particularly in statistics. However, each chapter begins with an introductory paragraph serving as a review so that anyone could pretty much gather what is going to be discussed.
A really nice feature of this compilation is that not only does it provide insight into the current methods, it outlines where further developments are needed and how they may help in filling in the gaps. With so many developments having been made in microarray data analysis recently, its nice to know that this book exists to help one gain a solid foundation on how to proceed with some sort of clarity. A five star rating for this one hands down. :)
December 06, 2006 | |
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