TY  - BOOK
AU  - Li,Shaoguang
AU  - Li,Dongguang
TI  - DNA microarray technology and data analysis in cancer research
SN  - 9789812790460
AV  - RC269.7 .L5 2008eb
U1  - 616.994071 22
PY  - 2008///
CY  - Singapore, Hackensack, NJ
PB  - World Scientific
KW  - Cancer cells
KW  - Growth
KW  - Regulation
KW  - DNA microarrays
KW  - Diseases
KW  - Methodology
KW  - Research
KW  - Gene expression
KW  - Science
KW  - Nucleic acid hybridization
KW  - Decision making
KW  - Mathematical models
KW  - Genetics
KW  - Technique
KW  - Physical sciences
KW  - Genetic Phenomena
KW  - Disease
KW  - Methods
KW  - Sequence Analysis
KW  - Oligonucleotide Array Sequence Analysis
KW  - methods
KW  - Neoplasms
KW  - Data Interpretation, Statistical
KW  - Gene Expression
KW  - Investigative Techniques
KW  - Molecular Probe Techniques
KW  - Microarray Analysis
KW  - Nucleic Acid Hybridization
KW  - Decision Support Techniques
KW  - Analytical, Diagnostic and Therapeutic Techniques and Equipment
KW  - Genetic Techniques
KW  - Microchip Analytical Procedures
KW  - Natural Science Disciplines
KW  - Chemistry Techniques, Analytical
KW  - Phenomena and Processes
KW  - Disciplines and Occupations
KW  - Cellules cancéreuses
KW  - Croissance
KW  - Régulation
KW  - Puces à ADN
KW  - Maladies
KW  - Méthodologie
KW  - Recherche
KW  - Expression génique
KW  - Sciences
KW  - Acides nucléiques
KW  - Hybridation
KW  - Prise de décision
KW  - Modèles mathématiques
KW  - Génétique
KW  - Sciences physiques
KW  - illness
KW  - aat
KW  - disease
KW  - methodology
KW  - research (function)
KW  - sciences (philosophy)
KW  - physical sciences
KW  - MEDICAL
KW  - Oncology
KW  - bisacsh
KW  - HEALTH & FITNESS
KW  - Cancer
KW  - fast
KW  - Electronic books
N1  - 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
N2  - 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
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=305162
ER  -