Universiti Teknologi Malaysia Institutional Repository

Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data

Mohamad, Mohd. Saberi (2005) Applying filter approach and genetic algorithm wrapper for gene selection from gene expression data. In: International Symposium on Bio-Inspired Computing (BIC'05),, 2005, Puteri Pan Pacific Hotel, Johor Bahru.

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Official URL: https://www.academia.edu/1565896/Applying_Filter_A...

Abstract

Gene expression microarray data is expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. One problem arising from this data is how to select a small subset of genes from thousands of genes and much fewer samples that are inherently noisy. This research deals with finding a small subset of informative genes from the gene expression data which maximize the classification accuracy and minimize the running time. This paper proposed a model of gene expression classification by using filter approach and an improved Genetic Algorithm wrapper approach. We show that the classification accuracy and execution time of the proposed model are useful for cancer classification of two widely used gene expression benchmark data sets.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Genetic Algorithm, Gene expression Data
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:21814
Deposited By: Liza Porijo
Deposited On:29 Aug 2017 06:14
Last Modified:29 Aug 2017 06:16

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