Universiti Teknologi Malaysia Institutional Repository

Pathway-based microarray analysis for defining statistical significant phenotype-related pathways: a review of common approaches

Misman, Muhammad Faiz and Deris, Safaai and Hashim, Suhairul Z. M. and Jumali, R. and Mohamad, Mohd Saberi (2009) Pathway-based microarray analysis for defining statistical significant phenotype-related pathways: a review of common approaches. In: Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009. Institute of Electrical and Electronics Engineers, New York, 496 -500. ISBN 978-076953595-1

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ICIME.2009.103

Abstract

In this reiew, we have discussed about approaches in pathway based microarray analysis. Commonly, there are two approaches in pathway based analysis, Enrichment Score and Supervised Machine Learning. These pathway based approaches usually aim to statistically define significant pathways that related to phenotypes of interest. Firstly we discussed an overview of pathway based microarray analysis and its general flow processes in scoring the pathways, the methods applied in both approaches, advantages and limitations based on current researches, and pathways database used in pathway analysis. This review aim to provide better understanding about pathway based microarray analysis and its approaches.

Item Type:Book Section
Additional Information:2009 International Conference on Information Management and Engineering, ICIME 2009; Kuala Lumpur; 3 April 2009 through 5 April 2009
Uncontrolled Keywords:machine learning, microarray, pathway analysis
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:13040
Deposited By: Liza Porijo
Deposited On:14 Jul 2011 01:16
Last Modified:14 Jul 2011 01:16

Repository Staff Only: item control page