Recent advanced technologies in DNA microarray analysis are intensively applied in
disease classification, especially for cancer classification. Most recent proposed gene …

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

Since most classification articles have applied a single technique to a single gene
expression dataset, it is crucial to assess the performance of each method through a …

Microarray gene expression data sets usually contain a large number of genes, but a small
number of samples. In this article, we present a two-stage classification model by combining …

A reliable and precise classification of tumors is essential for successful diagnosis and
treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel …

Microarray gene expression technology provides a systematic approach to patient
classification. However, microarray data pose a great computational challenge owing to their …

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 …

In this paper, we propose a genetic algorithm with silhouette statistics as discriminant
function (GASS) for gene selection and pattern recognition. The proposed method evaluates …

Background The most fundamental task using gene expression data in clinical oncology is
to classify tissue samples according to their gene expression levels. Compared with …

Background DNA microarray gene expression classification poses a challenging task to the
machine learning domain. Typically, the dimensionality of gene expression data sets could …