Recently, more and more machine learning techniques have been applied to microarray
data analysis. The aim of this study is to propose a genetic programming (GP) based new …

In this paper, a genetic programming (GP) based new ensemble system is proposed, named
as GPES. Decision tree is used as base classifier, and fused by GP with three voting …

DNA microarray technology has demonstrated to be an effective methodology for the
diagnosis of cancers by means of microarray data classification. Although much research …

Cancer diagnosis is an important emerging clinical application of microarray data. Its
accurate prediction to the type or size of tumors relies on adopting powerful and reliable …

One of the key applications of microarray studies is to select and classify gene expression
profiles of cancer and normal subjects. In this study, two hybrid approaches–genetic …

Since the introduction of DNA microarray technology, there has been an increasing interest
on clinical application for cancer diagnosis. However, in order to effectively translate the …

The rapid development of DNA microarray technology enables researchers to measure the
expression levels of thousands of genes simultaneously and allows biologists easily gain …

DNA microarray data is expected to be a great help in the development of efficient diagnosis
and tumor classification. However, due to the small number of instances compared to a large …

Background Microarray datasets are an important medical diagnostic tool as they represent
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …

Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as
they have the potential to discover gene expression patterns that are characteristic for a …