Integrating supervised and unsupervised learning in self organizing maps for gene expression data analysis

Mathematics

• Unsupervised Learning 100%
• Self-organizing Map 98%
• Supervised Learning 95%
• Gene Expression Data 88%
• Data analysis 60%
• Model Complexity 46%
• Model Selection Criteria 43%
• Multiple Models 42%
• Number of Clusters 42%
• Prior Knowledge 39%
• Labeling 32%
• Design 20%
• Class 9%

Engineering & Materials Science

• Unsupervised learning 75%
• Self organizing maps 74%
• Gene expression 73%
• Supervised learning 70%
• Labeling 21%