Title :
The Sensitivity of Spectral Clustering Applied to Gene Expression Data
Author :
Spence, Alastair ; Stoyanov, Zhivko ; Vass, J. Keith
Author_Institution :
Dept. of Math. Sci., Bath Univ., Bath
Abstract :
In large scale numerical datasets which are to be ordered or clustered it is important to be able to measure the sensitivity of the orderings or clusterings. In this paper we combine statistical methods with techniques from numerical linear algebra to obtain an efficient numerical method to measure the sensitivity of spectral clustering. The method is applied to answer a question about the expression of genes MYH11 and NDE1 in breast cancer samples.
Keywords :
biology computing; cancer; genetics; singular value decomposition; statistics; breast cancer; gene MYH11; gene NDE1; gene expression data; numerical linear algebra; spectral clustering; statistical methods; Breast cancer; Computational efficiency; Gene expression; Large-scale systems; Linear algebra; Matrix decomposition; Sensitivity analysis; Singular value decomposition; Statistical analysis; Thumb;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.347
