An application of wavelet transform and artificial neural network for microarray gene expression based brain tumor sub-classification

Abstract

Classification of tumor subtype is a critical issue in tumor diagnosis and treatment. A correct identification of tumor subtype enables appropriate treatment and leads to faster recovery of the patient. Conventional methods of tumor sub-classification largely depend on the physician's knowledge and experience. The main intension of proposed method is to automate the customized approach of tumor sub-classification using DWT and ANN.