[Analysis of diffuse large B-cell lymphoma heterogeneity based on coupled two-way clustering].
Microarray technology has proposed a powerful tool in dealing with the heterogeneity of disease. Currently, many methods in the field are based on traditional hierarchical clustering to discover subtypes of disease using a large number of genes on microarray.However, they did not considered that large unrelated noise (genes)may mask significant partitions and correlations of disease samples. To avoid the shortcoming, this paper presented a heterogeneous analysis based on coupled two-way clustering (HCTWC) to search interesting gene signature and find the natural partitions of disease samples. The method was applied to diffuse large B-cell lymphoma (DLBCL) microarray dataset. By identifying significant gene signature, we were able to discover the two new subtypes of DLBCL with survival rate 55% and 25% respectively. The results showed that HCTWC had the potential to be a powerful tool for solving the heterogeneity of disease on gene expression profile.
Li
Li
L
Institute of Medical Genetics, Tongji Unversity, Shanghai, China. flylily322@hotmail.com
Li
Xia
X
Chen
Yi-Han
YH
Guo
Zheng
Z
Jiang
Wei
W
Zhagn
Rui-Jie
RJ
Rao
Shao-Qi
SQ
D016000:Cluster Analysis; D018740:Genetic Heterogeneity; D006801:Humans; D016403:Lymphoma, Large B-Cell, Diffuse / Q000235:genetics* / Q000473:pathology*; D020411:Oligonucleotide Array Sequence Analysis; D016019:Survival Analysis