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DNA microarray technology and data analysis in cancer research / Shaoguang Li, Dongguang Li.

By: Contributor(s): Material type: TextTextPublication details: Singapore ; Hackensack, NJ : World Scientific, ©2008.Description: 1 online resource (xi, 118 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812790460
  • 9812790462
  • 1282441248
  • 9781282441248
  • 9786612441240
  • 6612441240
Subject(s): Genre/Form: Additional physical formats: Print version:: DNA microarray technology and data analysis in cancer research.DDC classification:
  • 616.994071 22
LOC classification:
  • RC269.7 .L5 2008eb
NLM classification:
  • QZ 206
Online resources:
Contents:
ch. 1. DNA microarray technology. 1.1. Experimental procedure. 1.2. Experimental design. 1.3. Quality control. 1.4. Interpretation of DNA microarray data. 1.5. Advantages and disadvantages -- ch. 2. Applications of DNA microarray technology in cancer research. 2.1. Solid tumors. 2.2. Blood cancers. 2.3. Our DNA microarray study using mouse -- ch. 3. Current analytical methods of DNA microarray data. 3.1. Experimental design. 3.2. Method. 3.3. Quality control diagnostics. 3.4. Statistical analysis. 3.5. Coefficient of variation analysis -- ch. 4. A novel method for DNA microarray data analysis : SDL global optimization method. 4.1. Research subjects. 4.2. Experimental design. 4.3. Fold change analysis -- 4.4. More information on SDL global optimization -- ch. 5. Applications of the SDL global optimization method in DNA microarray data analysis. 5.1. Leukemia cell line study. 5.2. Analyses of publicly available human microarray data. 5.3. Overall methodology. 5.4. Experimental results. 5.5. Discussion. 5.6. Conclusion -- ch. 6. General discussion and future directions.
Summary: 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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Includes bibliographical references (pages 105-115) and index.

ch. 1. DNA microarray technology. 1.1. Experimental procedure. 1.2. Experimental design. 1.3. Quality control. 1.4. Interpretation of DNA microarray data. 1.5. Advantages and disadvantages -- ch. 2. Applications of DNA microarray technology in cancer research. 2.1. Solid tumors. 2.2. Blood cancers. 2.3. Our DNA microarray study using mouse -- ch. 3. Current analytical methods of DNA microarray data. 3.1. Experimental design. 3.2. Method. 3.3. Quality control diagnostics. 3.4. Statistical analysis. 3.5. Coefficient of variation analysis -- ch. 4. A novel method for DNA microarray data analysis : SDL global optimization method. 4.1. Research subjects. 4.2. Experimental design. 4.3. Fold change analysis -- 4.4. More information on SDL global optimization -- ch. 5. Applications of the SDL global optimization method in DNA microarray data analysis. 5.1. Leukemia cell line study. 5.2. Analyses of publicly available human microarray data. 5.3. Overall methodology. 5.4. Experimental results. 5.5. Discussion. 5.6. Conclusion -- ch. 6. General discussion and future directions.

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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English.

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