Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique
Nusrath Tabassum,
Md Abdus Samad Kamal,
M. A. H. Akhand
et al.
Abstract:Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality. Gene expression data play a crucial role in cancer classification at an early stage. Accurate cancer classification is a complex and challenging task due to the high-dimensional nature of the gene expression data relative to the small sample size. This research prop… Show more
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