Classification of Blood Cancer and Form Associated Gene Networks Using Gene Expression Profiles

Abstract

Blood cells are produced at bone marrow called the soft, spongy center of bones. Leukemia is a one type of cancer which occurs either at blood or at bone marrow. It can happen when there is a problem with the production of blood cells. It usually affects the leukocytes or white blood cells. Once the blood cancer develops, the body produces huge amount of abnormal blood cells. In most varieties of Leukemia, the abnormal cells are white blood cells and they look completely different from traditional blood cells. In this paper, the categories of Leukemia are briefly justified, the method shows a robust performance applied to patient-based gene expression datasets. In this article, we have taken 60 microarray samples from the patient’s bone marrow and that samples are of four different types: ALL, AML, CLL, and AML with non-leukemia also. The article projected associate algorithmic rule to make clear classifier associated gene networks supported genome-wide expression knowledge. The input for this algorithmic rule is the Expression Set or Expression Matrix of the samples and output provides three completely different categories such as Gene Ranking, Classifier, and gene Network associated to every class.