A Survey of Human Cancer Classification using Micro Array Data

Cancer research is an interesting research area in the field of medicine. Classification is momentously necessary for cancer diagnosis and treatment. The precise prophecy of dissimilar tumor types has immense value in providing better care and toxicity minimization on the patients. Classification of patient taster obtainable as gene expression profiles has become an issue of prevalent study in biomedical research in modern years. Formerly, cancer classification depends upon the morphological and clinical. The modern arrival of the micro array technology has permitted the concurrent observation of thousands of genes, which provoked the progress in cancer classification using gene expression data. This study hub on the broadly used assorted data mining and machine learning techniques for appropriate gene selection, which pilot to exact cancer classification. In addition to, it provides a general idea for further improvement in this field.