Clustering gene expression data from colon tissue samples with an interrelated two-way self-organizing map

Authors

Gilbert Adam Sab-a ⋅ PH Department of Physics, University of San Carlos
V. Flores ⋅ PH Department of Physics, University of San Carlos
Albert James Licup ⋅ PH Department of Physics, University of San Carlos

Abstract

We use an Interrelated Two-Way Self-Organizing Map (ITW-SOM) to cluster gene expression data from normal and tumor colon tissue samples. Results show 3 optimal tissue sample clusters; two of which belong to the normal and tumor samples, and a third intermediary cluster, which comprises of tissue samples whose features could be ascribed as an intermediate between normal and tumor states. The Davies-Bouldin index provided the means to assess the number of optimal clusters for both genes and tissue samples.

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Issue

2005: Proceedings of the 23rd Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2005-PB-57

Section

Poster Session PB

Published

2005-10-26

How to Cite

[1]

GA Sab-a, V Flores, and AJ Licup, Clustering gene expression data from colon tissue samples with an interrelated two-way self-organizing map, Proceedings of the Samahang Pisika ng Pilipinas 23, SPP-2005-PB-57 (2005). URL: https://proceedings.spp-online.org/article/view/SPP-2005-PB-57.