Methods of Microarray Data Analysis II Papers from CAMDA '01 /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2002.
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| Edición: | 1st ed. 2002. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/b112982 |
Tabla de Contenidos:
- 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.