Modifying the K-medoid algorithm to improve gene expression data clustering using Biological Homogeneity Index (BHI) and Biological Stability Index (BSI)
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
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Archīum Ateneo
2013
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| Online Access: | https://archium.ateneo.edu/theses-dissertations/221 |
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| Institution: | Ateneo De Manila University |
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