Unravelling the hidden heterogeneities of diffuse large B-cell lymphoma based on coupled two-way clustering.

ABSTRACT:

Background

It becomes increasingly clear that our current taxonomy of clinical phenotypes is mixed with molecular heterogeneity. Of vital importance for refined clinical practice and improved intervention strategies is to define the hidden molecular distinct diseases using modern large-scale genomic approaches. Microarray omics technology has provided a powerful way to dissect hidden genetic heterogeneity of complex diseases. The aim of this study was thus to develop a bioinformatics approach to seek the transcriptional features leading to the hidden subtyping of a complex clinical phenotype. The basic strategy of the proposed method was to iteratively partition in two ways sample and feature space with super-paramagnetic clustering technique and to seek for hard and robust gene cl

SUBMITTER: Zhang W 

PROVIDER: S-EPMC2082044 | biostudies-literature | 2007 Sep

REPOSITORIES: biostudies-literature