Dna Microarray Technology And Data Analysis In Cancer Research
eBook - PDF

Dna Microarray Technology And Data Analysis In Cancer Research

  1. 132 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Dna Microarray Technology And Data Analysis In Cancer Research

About this book

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.

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Yes, you can access Dna Microarray Technology And Data Analysis In Cancer Research by Shaoguang Li, Dongguang Li in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Contents
  2. Preface
  3. Introduction of Authors
  4. Chapter 1 DNA Microarray Technology
  5. Chapter 2 Applications of DNA Microarray Technology in Cancer Research
  6. Chapter 3 Current Analytical Methods of DNA Microarray Data
  7. Chapter 4 A Novel Method for DNA Microarray Data Analysis: SDL Global Optimization Method
  8. Chapter 5 Applications of the SDL Global Optimization Method in DNA Microarray Data Analysis
  9. Chapter 6 General Discussion and Future Directions
  10. References
  11. Index