This systematic review provides researchers interested in feature selection (FS) for
processing microarray data with comprehensive information about the main research …

Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

Cancer is a group of diseases caused due to abnormal cell growth. Due to the innovation of
microarray technology, a large variety of microarray cancer datasets are produced and …

Accurate classification of high-dimensional biomedical data highly depends on the efficient
recognition of the data's main features which can be used to assist diagnose related …

The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the …

The advancements in intelligent systems have contributed tremendously to the fields of
bioinformatics, health, and medicine. Intelligent classification and prediction techniques …

Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …

Cancer is a deadly disease which requires a very complex and costly treatment. Microarray
data classification plays an important role in cancer treatment. An efficient gene selection …

Gene Expression is the process of determining the physical characteristics of living beings
by generating the necessary proteins. Gene Expression takes place in two steps, translation …

Microarray analysis of gene expression can help with disease and cancer diagnosis and
prognosis. Identification of gene biomarkers is one of the most difficult issues in microarray …