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What is Clustering Methods in Gene Expression Data about?

This doctoral thesis presents methods for clustering gene expression data. It begins with introductions to clustering problems, molecular biology fundamentals, microarrays, and existing clustering algorithms. It then describes three main contributions: 1) Methods for comparing different clusterings, including a greedy algorithm for comparing flat clusterings and an exploration algorithm for comparing flat and hierarchical clusterings. 2) Robust refinements of k-means clustering using depth-based methods. 3)

Author

Dhalia

Language

EN