Methods of Microarray Data Analysis II

Description

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 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.










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1. Ebooks list page : 2010
2. Microarray Data Analysis: Methods and Applications (Methods in Molecular Biology, Vol 377)
3. Microarray Data Analysis: Methods and Applications (Methods in Molecular Biology, Vol 377)
4. Methods in Molecular Biology, vol.556 - Microarray Analysis of the Physical Genome: Methods and Protocols
5. DNA Microarray Data Analysis
6. Analysis of Microarray Data
7. Guide to Analysis of DNA Microarray Data
8. A Biologist's Guide to Analysis of DNA Microarray Data
9. "A Practical Approach to Microarray Data Analysis"
10. A Practical Approach to Microarray Data Analysis
11. Microarray Gene Expression Data Analysis
12. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
13. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
14. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
15. Analysis of Microarray Gene Expression Data (Trends in Logic S.)
16. Advanced Analysis of Gene Expression Microarray Data (2006)