Modifying the K-medoid algorithm to improve gene expression data clustering using Biological Homogeneity Index (BHI) and Biological Stability Index (BSI)

• Main Author: JELLY, AUREUS
• Format: text
• Published: Archīum Ateneo 2013
• Subjects: Cluster set theory; Computer algorithms
• Online Access: https://archium.ateneo.edu/theses-dissertations/221
• Institution: Ateneo De Manila University

Clustering of genes on the basis of expression profiles is usually taken as a first step in understanding how a class of genes acts in consort during a biological process. The fundamental premise for applying such methods is that genes with similar functi