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Dna Microaray Technology And Data Analysis In Cancer Research 1st Edition Shaoguang Li

  • SKU: BELL-1354824
Dna Microaray Technology And Data Analysis In Cancer Research 1st Edition Shaoguang Li
$ 31.00 $ 45.00 (-31%)

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Dna Microaray Technology And Data Analysis In Cancer Research 1st Edition Shaoguang Li instant download after payment.

Publisher: World Scientific Publishing Company
File Extension: PDF
File size: 3.64 MB
Pages: 131
Author: Shaoguang Li, Dongguang Li
ISBN: 9789812790453, 9812790454
Language: English
Year: 2009
Edition: 1

Product desciption

Dna Microaray Technology And Data Analysis In Cancer Research 1st Edition Shaoguang Li by Shaoguang Li, Dongguang Li 9789812790453, 9812790454 instant download after payment.

DNA microarray technology has become a useful technique in gene expression analysis for the development of new diagnostic tools and for the identification of disease genes and therapeutic targets for human cancers. Appropriate control for DNA microarray experiment and reliable analysis of the array data are key to performing the assay and utilizing the data correctly. The most difficult challenge has been the lack of a powerful method to analyze the data for all genes (more than 30,000 genes) simultaneously and to use the microarray data in a decision-making process. In this book, the authors describe DNA microarray technology and data analysis by pointing out current advantages and disadvantages of the technique and available analytical methods. Crucially, new ideas and analytical methods based on the authors' own experience in DNA microarray study and analysis are introduced. It is believed that this new way of interpreting and analyzing microarray data will bring us closer to success in decision-making using the information obtained through the DNA microarray technology.

Contents: DNA Microarray Technology; Applications of DNA Microarray Technology in Cancer Research; Current Analytical Methods of DNA Microarray Data; A Novel Method for DNA Microarray Data Analysis: SDL Global Optimization Method; Applications of the SDL Global Optimization Method in DNA Microarray Data Analysis; General Discussion and Future Directions.

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