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

M. F. Misman, S. Deris, S. Z.M. Hashim, R. Jumali, M. S. Mohamad

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

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
Pages496-500
Number of pages5
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on Information Management and Engineering, ICIME 2009 - Kuala Lumpur, Malaysia
Duration: Apr 3 2009Apr 5 2009

Publication series

NameProceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009

Other

Other2009 International Conference on Information Management and Engineering, ICIME 2009
Country/TerritoryMalaysia
CityKuala Lumpur
Period4/3/094/5/09

Keywords

  • Machine learning
  • Microarray
  • Pathway analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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