Random Forest and Gene Ontology for functional analysis of microarray data

Tham Wen Shi, Kohbalan Moorthy, Mohd Saberi Mohamad, Safaai Deris, Sigeru Omatu, Michifumi Yoshioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

With the development of DNA microarray technology, scientists can now measure gene expression levels. However, such high-throughput microarray technologies produce a long list of genes with small sample size and high noisy genes. The data need to be further analysed and interpreting information on biological process requires a lot of practice and usually is a time consuming process. Most of the traditional frameworks focus on selecting small subset of genes without analysing the gene list into a useful biological knowledge. Thus, we propose a model of Random Forest and GOstats. In this research, two datasets were used which included Leukemia and Prostate. This model was capable to select a small subset of genes that were informative with relevant significant GO terms which can be used in clinical and health areas. The experimental results also validated that the subset of genes selected was functionally related to carcinogenesis or tumour histogenesis.

Original languageEnglish
Title of host publication2014 IEEE 7th International Workshop on Computational Intelligence and Applications, IWCIA 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-34
Number of pages6
ISBN (Electronic)9781479947706
DOIs
Publication statusPublished - Dec 16 2014
Externally publishedYes
Event2014 IEEE 7th International Workshop on Computational Intelligence and Applications, IWCIA 2014 - Hiroshima, Japan
Duration: Nov 7 2014Nov 8 2014

Publication series

Name2014 IEEE 7th International Workshop on Computational Intelligence and Applications, IWCIA 2014 - Proceedings

Conference

Conference2014 IEEE 7th International Workshop on Computational Intelligence and Applications, IWCIA 2014
Country/TerritoryJapan
CityHiroshima
Period11/7/1411/8/14

Keywords

  • Bioinformatics
  • Gene Ontology
  • Gene Selection
  • Microarray Data
  • Random Forest

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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