The DNA microarrays are used to monitor the expression levels of significant genes. Most of
the microarray data are assumed to be high dimensional, redundant, and noisy. This paper …

The execution of many computational steps per time unit typical of parallel computers offers
an important benefit in reducing the computing time in real world applications. In this work, a …

Microarray Logic Analyzer (MALA) is a clustering and classification software, particularly
engineered for microarray gene expression analysis. The aims of MALA are to cluster the …

Biclustering algorithm is to cluster in the horizontal and vertical directions simultaneously in
matrix. This algorithm identifies a set of sub-matrix by adopting a greedy iterative strategy …

Data clustering is one of the important data mining tasks. It is the process of grouping objects
into clusters such that objects in the same clusters are more similar to each other than the …

Gene selection is imperative to clustering in light of gene articulation information, as a result
of high Clustering quality. Clustering gene articulation information is a vital research subject …

The analysis of gene expression profiles from microarray/RNA sequencing (RNA‐Seq)
experimental samples demands new efficient methods from statistics and computer science …

Leveraging advances in transcriptome profiling technologies (RNA-seq), biomedical
scientists are collecting ever-increasing gene expression profiles data with low cost and …

DNA microarray (gene microarray or DNA chip) can provide a vast resource of medical
diagnostic and disease understanding. The clustering of DNA microarray data has become …

One of the most important aspects in Computer Sciences Research consists in the analysis
and design of optimization algorithms for solving new and complex problems in an efficient …