Universiti Teknologi Malaysia Institutional Repository

Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma

Wasito, Ito and M. Hashim, Siti Zaiton and Sukmaningrum, Sri (2007) Iterative local gaussian clustering for expressed genes identification linked to malignancy of human colarectal carcinoma. In: International Conference on Bio-Informations, 2007, Hong Kong University Science & Technology.

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Official URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC22419...

Abstract

Gene expression profiling plays an important role in the identification of biological and clinical properties of human solid tumors such as colorectal carcinoma. Profiling is required to reveal underlying molecular features for diagnostic and therapeutic purposes. A non-parametric density-estimation-based approach called iterative local Gaussian clustering (ILGC), was used to identify clusters of expressed genes. We used experimental data from a previous study by Muro and others consisting of 1,536 genes in 100 colorectal cancer and 11 normal tissues. In this dataset, the ILGC finds three clusters, two large and one small gene clusters, similar to their results which used Gaussian mixture clustering. The correlation of each cluster of genes and clinical properties of malignancy of human colorectal cancer was analysed for the existence of tumor or normal, the existence of distant metastasis and the existence of lymph node metastasis.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:gene expression, unsupervised clustering, Gaussian kernel, colorectal cancer
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:25619
Deposited By:INVALID USER
Deposited On:23 May 2012 00:35
Last Modified:13 Jun 2017 04:53

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