Clustering approach in DNA microarray analysis

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
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.

Language:
Persian
Published:
Journal of Research In Medical Sciences, Volume:31 Issue: 1, 2007
Page:
19
https://www.magiran.com/p454766  
سامانه نویسندگان
  • Hamid Alavi Majd
    Author (1)
    Professor Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University Of Medical Sciences, Tehran, Iran
    Alavi Majd، Hamid
  • Yadollah Mehrabi
    Author (3)
    Professor Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University Of Medical Sciences, Tehran, Iran
    Mehrabi، Yadollah
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