
DNA Arrays in Neurobiology
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Content
- Cover
- Contents
- Contributors
- Introduction
- Chapter 1. Microarray Platforms: Introduction and Application to Neurobiology
- I. Introduction
- II. Experimental Flow
- III. Microarray Design
- IV. Slides and Probes
- V. Sample Preparation and Labeling
- VI. Data Analysis
- VII. Data Interpretation
- VIII. Confirmation of Microarray Results
- IX. Conclusion
- X. Online Resources
- References
- Chapter 2. Experimental Design and Low-Level Analysis of Microarray Data
- I. Introduction
- II. Design of Experiments
- III. Sample Size Considerations
- IV. Normalization
- V. Expression Summaries for GeneChip Data
- VI. Quality Assessment
- VII. Detection of Absolute Gene Expression
- References
- Chapter 3. Brain Gene Expression: Genomics and Genetics
- I. Introduction
- II. Transcript Abundance as a Complex Trait
- III. Genetic Dissection of Transcription Regulation
- IV. How Many QTLs Are There? Statistical Control in Two Dimensions
- V. Probe Versus Probe Set-Level Phenotypes
- VI. Transcription Regulatory Networks
- VII. Functional Correlates of Brain Transcriptional Activity
- VIII. Conclusions: Building a Model of Brain Function from Multipoint, Multi-tissue Gene Expression, and Phenomic Observation
- References
- Chapter 4. DNA Microarrays and Animal Models of Learning and Memory
- I. Introduction
- II. DNA Microarray Technology
- III. Use of DNA Microarrays for Studying Learning and Memory
- IV. Conclusion
- References
- Chapter 5. Microarray Analysis of Human Nervous System Gene Expression in Neurological Disease
- I. Introduction
- II. Disease Pathophysiology
- III. Microarray-Based Disease Classification
- IV. Human Neurological Diseases Studied by Microarray Technology
- V. Conclusion
- References
- Chapter 6. DNA Microarray Analysis of Postmortem Brain Tissue
- I. Introduction
- II. Challenges in Studies of the Postmortem Human Brain
- III. Microarray Analysis of Human Brain Disorders
- IV. Where Do We Go from Here?
- References
- Index
- Contents of Recent Volumes
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