M. Pan

In this study, quantile normalization (QN) was utilized to remove the unwanted dataset variations, after which the adjusted datasets were used for classification. Expand

A common problem in modern genetic research is that of comparing the mean vectors of two populations-typically in settings in which the data dimension is larger than the sample size-where Hotelling's test cannot be applied. Expand

In this study, a recently developed correlation-based classifier, the ensemble of random subspace (RS) Fisher linear discriminants (FLDs), was utilized. Expand

This study was trying to identify whether a prognostic factor was genetic or not by using GEPs. Expand

We propose a knowledge recommendation algorithm based on time migration (KRBTM) based on short-term and long-term behavior of users. Expand

In order to improve colorectal cancer (CRC) stratification, researches made before were using biomarkers, biomarker combinations or gene expression profile clustering individually for patient classification. Expand