Pathway-based microarray analysis for defining statistical significant phenotype-related pathways: a review of common approaches
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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Book Section |
| Published: |
Institute of Electrical and Electronics Engineers
2009
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/13040/ http://dx.doi.org/10.1109/ICIME.2009.103 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|