Microarray Data Analysis Methods and Applications
In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Included in this innovative book includes are in-depth looks intopresentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing...
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| Format: | eBook |
| Language: | English |
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Totowa, NJ
Humana
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Methods in Molecular Biology
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Microarray Data Analysis
- Genomic Signal Processing: From Matrix Algebra to Genetic Networks
- Online Analysis of Microarray Data Using Artificial Neural Networks
- Signal Processing and the Design of Microarray Time-Series Experiments
- Predictive Models of Gene Regulation
- Statistical Framework for Gene Expression Data Analysis
- Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer
- Comparing Microarray Studies
- A Pitfall in Series of Microarrays
- In-Depth Query of Large Genomes Using Tiling Arrays
- Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays
- Integrated High-Resolution Genome-Wide Analysis of Gene Dosage and Gene Expression in Human Brain Tumors
- Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis
- Interpreting Microarray Results With Gene Ontology and MeSH
- Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis
- Predicting Survival in Follicular Lymphoma Using Tissue Microarrays