Methods of Microarray Data Analysis II: Papers from CAMDA ’01 PDF
Book By Simon M. Lin / DMCA

Methods Of Microarray Data Analysis Ii: Papers From Camda ’01

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarra...

File Size: 3868 KB
Print Length: 214 pages
Publisher: Springer; 2002 edition (May 8, 2007)
Publication Date: May 8, 2007
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B000SW14U0
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“This book was very helpful to learn updated statistical methods to analyze microarray data, but I wanted a little more of thorough explanation and algorithm details for each method. I felt this was a bit too expensive for the content. I would not rec...”

Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques.Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.