title: [Analysis of diffuse large B-cell lymphoma heterogeneity based on coupled two-way clustering].
abstract: 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.
authors.affiliation: Institute of Medical Genetics, Tongji Unversity, Shanghai, China. flylily322@hotmail.com
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.forename: Xia
authors.initials: X
authors.lastname: Li
authors.forename: Yi-Han
authors.initials: YH
authors.lastname: Chen
authors.forename: Zheng
authors.initials: Z
authors.lastname: Guo
authors.forename: Wei
authors.initials: W
authors.lastname: Jiang
authors.forename: Rui-Jie
authors.initials: RJ
authors.lastname: Zhagn
authors.forename: Shao-Qi
authors.initials: SQ
authors.lastname: Rao
mesh_terms: 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