Computational methods for identifying number of clusters in gene expression data

Keyphrases

• Computational Methods 100%
• Gene Expression Data 100%
• Number of Clusters 100%
• Clustering Methods 42%
• Self-organizing Map 42%
• Expression Pattern 14%
• Model-based Clustering 14%
• Cluster Validity Index 14%
• In Clustering 14%
• Microarray Technology 14%
• Hierarchical Tree 14%
• Fuzzy C-means 14%
• Compactness Index 14%
• Method for Identification 14%
• Gene Expression Analysis 14%
• Bayesian Information Criterion 14%
• Xie-Beni Index 14%
• Similar Expression 14%
• Tree Index 14%
• Poplar 14%

Computer Science

• Computational Method 100%
• Gene Expression Data 100%
• Organizing Map 50%
• Clustering Method 50%
• Gene Expression Data Set 33%
• Approximation (Algorithm) 16%
• fuzzy c mean 16%
• Pattern Expression 16%
• Information Criterion 16%

Mathematics

• Clustering Method 100%
• Organizing Map 100%
• Model-Based Clustering 33%
• Relative Merit 33%
• Figure of Merit 33%
• Measure of Compactness 33%
• Bayesian Information Criterion 33%