File Entry: Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches
Created: 2012-05-11 02:33:00
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| Title | Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches |
| File name | M.F.Misman_S.Deris_S.Z.M.Hashim_R.Jumali2009-Pathway-Based_Microarray_Analysis_for_Defining_Statistical_Significant_Phen.pdf |
| File size | 287603 |
| SHA1 | 2dfac15aba4cb6eb07e26bbe6dffa73ffefd87d1 |
| Content type | Adobe PDF |
Description
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.
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