Methods of Microarray Data Analysis II Papers from CAMDA’ 01 /
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2002.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- An Introduction to DNA Microarrays
- Experimental Design for Gene Microarray Experiments and Differential Expression Analysis
- Microarray Data Processing and Analysis
- Biology-driven Clustering of Microarray Data
- Extracting Global Structure from Gene Expression Profiles
- Supervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles
- Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants
- Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium
- Fishing Expedition - a Supervised Approach to Extract Patterns from a Compendium of Expression Profiles
- Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel Pls to Correlate the Microarray Data to Therapeutic Responses
- Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning
- Evaluation of Current Methods of Testing Differential Gene expression and Beyond
- Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature.
