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

dc.contributor.author	Patil, S.
dc.contributor.author	Naik, G.M.
dc.contributor.author	Pai, K.R.
dc.date.accessioned	2015-09-29T06:46:03Z
dc.date.available	2015-09-29T06:46:03Z
dc.date.issued	2015
dc.identifier.citation	International Journal of Emerging Technology and Advanced Engineering. 5(5); 2015; 410-414.	en_US
dc.identifier.uri	http://www.ijetae.com/files/Volume5Issue5/IJETAE_0515_71.pdf
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/4050
dc.description.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.
dc.subject	Electronics	en_US
dc.title	An application of wavelet transform and artificial neural network for microarray gene expression based brain tumor sub-classification	en_US
dc.type	Journal article	en_US