Volume 31, Number 1 (spring 2007)                   Research in Medicine 2007, 31(1): 19-25 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Alavimajd H, Vahedi M, Mehrabi Y, Naghavi B. Clustering approach in DNA microarray analysis. Research in Medicine. 2007; 31 (1) :19-25
URL: http://pejouhesh.sbmu.ac.ir/article-1-349-en.html

, alavimajd@gmail.com
Abstract:   (12085 Views)
Background: Microarray DNA technology has paved the way for investigators to expressed thousands of genes in a short time. Analysis of this big amount of raw data includes normalization, clustering and classification. The present study surveys the application of clustering technique in microarray DNA analysis. Materials and methods: We analyzed data of Van’t Veer et al study dealing with BRCA1 and BRCA2 mutations in breast cancer. It was consisted of 18 patients with BRCA1 and 2 patients with BRCA2 mutation. Gene expression data were clustered using hierarchical and non-hierarchical approach. Then different clustering approaches were compared according to the actual classification with R software. Results: Hierarchical clustering showed a sensitivity of 94% and specificity of 100% in detecting BRCA1 gene. These figures were 89% and 100% for non-hierarchical clustering, respectively, indicating a satisfactory performance for both approaches. All clustering approaches classified sample No. 95 in BRCA2 group, however, clinical manifestations put her in BRCA1 group. Conclusion: With respect to satisfactory coincidence between clustering and actual classification results, clustering approach could be applied for cases when actual classification is missing.
Full-Text [PDF 172 kb]   (3486 Downloads)    
Type of Study: Original | Subject: General
Received: 2007/10/8

Send email to the article author


Creative Commons License
This Journal is licensed under a Creative Commons Attribution 4.0 International License  | Research in Medicine

Designed & Developed by : Yektaweb