Aim and Objective: Cancer is a dangerous disease worldwide, caused by somatic mutations
in the genome. Diagnosis of this deadly disease at an early stage is exceptionally new …

Over the past few decades, there has been a massive growth in the volume of biological
data. In such datasets, the influence of dimensionality bias or existence of repetitive, noisy …

Gene expression profiles, which represent the state of a cell at a molecular level, have great
potential as a medical diagnosis tool. In cancer classification, available training data sets are …

The microarray technology facilitates biologist in monitoring the activity of thousands of
genes (features) in one experiment. This technology generates gene expression data, which …

Deoxyribo Nucleic Acid (DNA) microarray technology allows us to generate thousands of
gene expression in a single chip. Analyzing gene expression data plays vital role in …

Aims and Objective: Redundant information of microarray gene expression data makes it
difficult for cancer classification. Hence, it is very important for researchers to find …

With the development of genome research, finding method to classify cancer and detect
biomarkers efficiently has become a challenging problem. In this paper, a novel multi-stage …

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 …

DNA microarray data is expected to be a great help in the development of efficient diagnosis
and tumor classification. However, due to the small number of instances compared to a large …

Microarray analyses are becoming a powerful tool for clinical diagnosis, as they have the
potential to discover gene expression patterns that are characteristic for a particular disease …