- Tytuł:
- Application of Density Based Clustering to Microarray Data Analysis
- Autorzy:
-
Raczynski, L.
Wozniak, K.
Rubel, T.
Zaremba, K. - Powiązania:
- https://bibliotekanauki.pl/articles/226804.pdf
- Data publikacji:
- 2010
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
microarrays
cluster analysis
DBSCAN - Opis:
- In just a few years, gene expression microarrays have rapidly become a standard experimental tool in the biological and medical research. Microarray experiments are being increasingly carried out to address the wide range of problems, including the cluster analysis. The estimation of the number of clusters in datasets is one of the main problems of clustering microarrays. As a supplement to the existing methods we suggest the use of a density based clustering technique DBSCAN that automatically defines the number of clusters. The DBSCAN and other existing methods were compared using the microarray data from two datasets used for diagnosis of leukemia and lung cancer.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2010, 56, 3; 281-286
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki