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Gene expression data clustering is one of the important tasks of functional genomics as it provides a powerful tool for studying functional relationships of genes in a biological process. Identifying coexpressed groups of genes represents the basic challenge in gene clustering problem. In this regard, a gene clustering algorithm, termed as robust(More)
Gene selection from microarray data is an important issue for gene expression based classification and to carry out a diagnostic test. In this regard, a rough set based gene selection algorithm is presented. It selects the set of genes by maximizing the relevance and significance of the genes, which are calculated based on the theory of rough sets. Using(More)
The miRNAs, a class of short approximately 22‐nucleotide non‐coding RNAs, often act post‐transcriptionally to inhibit mRNA expression. In effect, they control gene expression by targeting mRNA. They also help in carrying out normal functioning of a cell as they play an important role in various cellular processes. However, dysregulation of miRNAs is found(More)