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 …

The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …

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 …

Analysis of microarray data is a highly challenging problem due to the inherent complexity in
the nature of the data associated with higher dimensionality, smaller sample size …

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 …

DNA microarray technology is the fabrication of a single chip to contain a thousand genetic
codes. Each microarray experiment can analyze many thousands of genes in parallel. The …

Over the last decades, transcriptome profiling emerged as one of the most powerful
approaches in oncology, providing prognostic and predictive utility for cancer management …

Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …

Abstract A modified Artificial Bee Colony (ABC) metaheuristics optimization technique is
applied for cancer classification, that reduces the classifier's prediction errors and allows for …