Methods of Microarray Data Analysis is popular PDF and ePub book, written by Simon M. Lin in 2012-12-06, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Methods of Microarray Data Analysis can be Read Online from any device for your convenience.
Methods of Microarray Data Analysis Book PDF Summary
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 Microarray Data Analysis is one of the first books 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 focuses on two well-known data sets, 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.
Detail Book of Methods of Microarray Data Analysis PDF
- Author : Simon M. Lin
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461508731
- Genre : Science
- Total Page : 192 pages
- Language : English
- PDF File Size : 10,6 Mb
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