Bladder And Kidney Cancer Genome Classification Using Neural Network

Abstract

Cancer genome classification is very important due to its importance in daily life. In few decades hundred thousand people get effected it and it cause of death for them. The major cause of late identification of cancer genome. So in our work we emphasize on three types of cancer genome which belongs to two major types which are bladder and kidney. We discuss the BLCA, KICH and KIRC. Our work explain the real time authenticity of the genome from the normal genome which are named as mutation dataset. We apply the conventional model and compare them with neural network model and found that the neural network performs very well with respect to the conventional model and the given tables also annotate its significance.