Analyzing Microarray Gene Expression Data
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Abstract
Preface. 1. Microarrays in Gene Expression Studies. 2. Cleaning and Normalization. 3. Some Cluster Analysis Methods. 4. Clustering of Tissue Samples. 5. Screening and Clustering of Genes. 6. Discriminant Analysis. 7. Supervised Classification of Tissue Samples. 8. Linking Microarray Data with Survival Analysis. References. Author Index. Subject Index.
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3Topics & keywords
Keywords
- Microarray databases
- Microarray analysis techniques
- Computational biology
- Microarray
- Gene expression
- Computer science
- Biology
- Gene
UN Sustainable Development Goals
- Reduced inequalities
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