PathTalk: Interpretation of Microarray Gene-Expression Clusters in Association with Biological Pathways
Genomics & Informatics
; : 124-128, 2007.
Article
in English
| WPRIM (Western Pacific)
| ID: wpr-86063
Responsible library:
WPRO
ABSTRACT
Microarray technology enables us to measure the expression of tens of thousands of genes simultaneously under various experimental conditions. Clustering analysis is one of the most successful methods for analyzing microarray data using the assumption that co-expressed genes may be co-regulated. It is important to extract meaningful clusters from a long unordered list of clusters and to evaluate the functional homogeneity and heterogeneity of clusters. Many quality measures for clustering results have been suggested in different conditions. In the present study, we consider biological pathways as a collection of biological knowledge and used them as a reference for measuring the quality of clustering results and functional homogeneities. PathTalk visualizes and evaluates functional relationships between gene clusters and biological pathways.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Population Characteristics
/
Cluster Analysis
/
Multigene Family
/
Transcutaneous Electric Nerve Stimulation
Aspects:
Social determinants of health
Language:
English
Journal:
Genomics & Informatics
Year:
2007
Document type:
Article