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
Bibliography
Includes bibliographical references (pages 105-115) and index
