Title :
Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays
Author :
Bolshakova, Nadia ; Zamolotskikh, Anton ; Cunningham, Pádraig
Author_Institution :
Dept. of Comput. Sci., Trinity Coll., Dublin
Abstract :
The paper presents a comparison of the data-based and gene ontology (GO)-based approaches to cluster validation methods for gene microarray analysis. We apply a homogeneous approach to obtaining metrics from different GO-based similarity measures and a normalization of validation index values, that allows us to compare them to each other as well as to data-based validation indices. The results show strong correlation between both GO-based and data-based validation indices. The results suggest that this may represent an effective tool to support biomedical knowledge discovery tasks based on gene expression data
Keywords :
arrays; data mining; genetics; medical computing; molecular biophysics; ontologies (artificial intelligence); statistical analysis; biomedical knowledge discovery tasks; cluster validation methods; data-based validation indices; gene expression; gene microarrays; gene ontology-based validation indices; homogeneous approach; normalization; similarity measures; Biological information theory; Biomedical measurements; Clustering algorithms; Computer science; Databases; Gene expression; Ontologies; Pharmaceutical technology; Proteomics; Vocabulary;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.69
