Classification is an important data mining task that widely used in several different real world
applications. In microarray analysis, classification techniques are applied in order to …

Background and objective Proteins are indispensable for the flow of the life of living
organisms. Protein pairs in interaction exhibit more functional activities than individuals …

One of the major challenges is a small sample size as compared to large features (genes)
number of microarray data. Feature selection is an important process for accurate …

In this article, we propose a methodology for selecting genes that may have a role in
mediating a disease in general and certain cancers in particular. The methodology, first of …

This paper considers microarray gene expression data clustering using a novel two stage
meta-heuristic algorithm based on the concept of α-planes in general type-2 fuzzy sets. The …

Difference in gene expressions is characteristic of the function of different cell types and
those genes with low expression variance can be used as standards for quantitative gene …

In this paper, a novel approach is proposed for the analysis of time-course gene expression
data based on the path-breaking work of Zadeh, Computing with Words. This method can …

Microarray data profiles gene expression on a whole genome scale, therefore, it provides a
good way to study associations between gene expression and occurrence or progression of …

Lung cancer is a common cancer, and expression profiling can provide an accurate
indication to advance the medical intervention. However, this requires the availability of …

The expression levels of reference genes used in gene expression studies are assumed to
not change under most circumstances. However, a number of studies have demonstrated …