Wheat is considered as one of the most important strategic crops in Iran, and Iran
agricultural ministry has some special plans to encourage farmers to cultivate this crop, so …

Co-clustering aims at discovering groups of both objects and features from a given data
matrix. Co-clustering ensembles can produce robust co-clusters by combining multiple base …

Clustering is a fundamental data exploration task which aims at discovering the hidden
grouping structure in the data. The traditional clustering methods typically compute a single …

Bi-clustering is a widely used data mining technique for analyzing gene expression data. It
simultaneously groups genes and samples of an input gene expression data matrix to …

Although several biclustering algorithms have been studied, few are used for cross-pattern
identification across species using multi-omics data mining. A fast empirical Bayesian …

Computational breath analysis is a growing research area aiming at identifying volatile
organic compounds (VOCs) in human breath to assist medical diagnostics of the next …

In the current paper we provide a proof of NP-completeness for the Cell Formation Problem
(CFP) with the fractional grouping efficacy objective function. First the CFP with a linear …

Transcriptomic data is a treasure-trove in modern molecular biology, as it offers a
comprehensive viewpoint into the intricate nuances of gene expression dynamics …

Motivation Identification of differentially expressed genes is necessary for unraveling
disease pathogenesis. This task is complicated by the fact that many diseases are …

Reciprocal best match graphs (RBMGs) are vertex colored graphs whose vertices represent
genes and the colors the species where the genes reside. Edges identify pairs of genes that …