Inference from clustering with application to gene-expression microarrays

Mathematics

• Microarray 100%
• Gene Expression 98%
• Clustering 74%
• Random process 33%
• Clustering Algorithm 29%
• Sample point 27%
• Output 24%
• Replication 24%
• CDNA Microarray 19%
• Profile 19%
• Graphics 18%
• Fuzzy C-means 18%
• Model-based Clustering 16%
• Self-organizing Map 16%
• K-means 15%
• Similarity Measure 13%
• Euclidean Distance 12%
• Principal Components 12%
• Separability 12%
• Model 10%
• Error Analysis 10%
• Tables 9%
• Class 9%
• Evaluate 8%
• Partition 8%
• Context 6%
• Performance 6%
• Graph in graph theory 5%

Engineering & Materials Science

• Microarrays 89%
• Gene expression 85%
• Random processes 62%
• Clustering algorithms 35%
• Self organizing maps 21%
• Seed 20%
• Error analysis 18%

Medicine & Life Sciences

• Cluster Analysis 70%
• Gene Expression 47%
• Oligonucleotide Array Sequence Analysis 13%
• Seeds 13%
• Noise 12%
• Hand 9%