Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …

Cancer diagnosis based on gene analysis is one of the main research areas in
bioinformatics and machine learning. Microarray is a technology that can simultaneously …

A framework is developed for gene expression analysis by introducing fuzzy Jaccard
similarity (FJS) and combining Łukasiewicz implication with it through weights in hybrid …

The most common deadly neoplasm of the female reproductive organ is exhibited by
ovarian cancer. The microarray data offers valuable diagnostic and prognostic data for …

The increasing dimensionality of gene expression data poses significant challenges in
cancer classification, particularly in colon cancer. This study presents a novel filtering …

Feature ranking is an interesting problem in data science due to the time and effort wasted
on collecting, storing, and processing redundant features. This may also lead to over-fitted …

There are a wide range of genes in single-cell data, but some are not beneficial to
classification. In order to eliminate these redundant genes and select beneficial genes, this …

The rapid advancement of DNA microarray technology has significantly contributed to the
classification of various cancers, particularly leukemia. However, the high-dimensional …

Genes are essential biomarkers in determining biological conditions, including drug
response and identifying diseases like brain, ovarian, and colon cancer. However, many of …

Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …