Several techniques or methods may help in detecting diseases and cancer. Creating an
effective method for extracting disease information is one of the major challenges in the …

An artificial bee colony (ABC) is a relatively recent swarm intelligence optimization
approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing …

Ever-increasing data in various fields like Bioinformatics field, which has led to the need to
find a way to reduce the data dimensionality. Gene selection problem has a large number of …

Background Microarray datasets are an important medical diagnostic tool as they represent
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …

Cancer prediction has been shown to be important in the cancer research area. This
importance has prompted many researchers to review machine learning-approaches to …

Gene selection is an essential step for the classification of microarray cancer data. Gene
expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the …

Features Selection (FS) approaches have more attention since they have been applied to
several fields primarily to deal with high dimensional data. An increase in the dimension of …

DNA microarray technology is a novel method to monitor expression levels of large number
of genes simultaneously. These gene expressions can be and is being used to detect …

High dimensional search space in microarray data with large number of genes and few
dozen of samples increases the complexity of analysis of such databases. All the genes are …

Cancer classification based on microarray data plays a very important role in cancer
diagnosis and detection. Indeed, since microarray data contains a huge number of genes …