@inproceedings{fba0c0cabcbc488f91be0f8374576e13,
title = "A probabilistic neural network for gene selection and classification of microarray data",
abstract = "In this paper, we present the mathematical foundations of a probabilistic neural network for gene selection and classification of high-dimensional microarray data. We present a catalogue of features that a classification system for microarray data should incorporate. We then use this catalogue and compare the theoretical properties of probabilistic neural networks with support vector machines with regard to their suitability for multiclass cancer prediction. We compare the classification performance of a probabilistic neural network with the performance of a support vector machine on a multiclass microarray data set. The results of the theoretical and practical comparison suggest that the probabilistic neural network approach is to be preferred over support vector machines for multiclass cancer classification using microarray data.",
keywords = "Cancer classification, Microarray, Probabilistic neural network, Support vector machine",
author = "Daniel Berrar and Downes, {C. Stephen} and Werner Dubitzky",
year = "2003",
month = jan,
day = "1",
language = "English",
isbn = "1932415122",
series = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
publisher = "CSREA Press",
pages = "342--349",
editor = "H.R. Arabnia and R. Joshua and Y. Mun",
booktitle = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
note = "Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 ; Conference date: 23-06-2003 Through 26-06-2003",
}