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Dataset Information

Functional characterization of breast cancer using pathway profiles.


ABSTRACT:

Background

The molecular characteristics of human diseases are often represented by a list of genes termed "signature genes". A significant challenge facing this approach is that of reproducibility: signatures developed on a set of patients may fail to perform well on different sets of patients. As diseases are resulted from perturbed cellular functions, irrespective of the particular genes that contribute to the function, it may be more appropriate to characterize diseases based on these perturbed cellular functions.

Methods

We proposed a profile-based approach to characterize a disease using a binary vector whose elements indicate whether a given function is perturbed based on the enrichment analysis of expression data between normal and tumor tissues. Using breast cancer

SUBMITTER: Tian F 

PROVIDER: S-EPMC4113668 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature