Ensemble classifier based on context specific miRNA regulation modules: a new method for cancer outcome prediction.

ABSTRACT:

Background

Many classifiers which are constructed with chosen gene markers have been proposed to forecast the prognosis of patients who suffer from breast cancer. However, few of them has been applied in clinical practice because of the bad generalization, which results from the situation that markers selected by one method are very different from those obtained by another method, and thus such markers always lack discriminative capability in the other data sets.

Methods

In this work, a new ensemble classifier, on the basis of context specific miRNA regulation modules, has been proposed to forecast the metastasis risk of cancer sufferers. First, we defined all of the miRNAs which regulate the same context as a module that contains miRNAs and their regulating context, and app

SUBMITTER: Zhou X 

PROVIDER: S-EPMC3848894 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature