A probabilistic neural network for gene selection and classification of microarray data

Daniel Berrar, C. Stephen Downes, Werner Dubitzky

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the International Conference on Artificial Intelligence IC-AI 2003
編集者H.R. Arabnia, R. Joshua, Y. Mun
出版社CSREA Press
ページ342-349
ページ数8
ISBN(印刷版)1932415122, 9781932415124
出版ステータスPublished - 2003 1月 1
イベントProceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, United States
継続期間: 2003 6月 232003 6月 26

出版物シリーズ

名前Proceedings of the International Conference on Artificial Intelligence IC-AI 2003
1

Other

OtherProceedings of the International Conference on Artificial Intelligence, IC-AI 2003
国/地域United States
CityLas Vegas, NV
Period03/6/2303/6/26

ASJC Scopus subject areas

  • 人工知能

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