Abstract

With the emergence and rapid advancement of DNA microarray technologies, construction of gene expression profiles for different cancer types has already become a promising means for cancer diagnosis and treatment. Most previous research has focused on binary classification. Here, we use a probabilistic neural network (PNN) for multi-classification of cancer data. The experimental results demonstrate the effectiveness of the PNN in addressing gene expression data.

Meeting Name

International Joint Conference on Neural Networks, 2003

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

Keywords and Phrases

DNA; DNA Microarray Technologies; Binary Classification; Cancer; Cancer Data; Cancer Diagnosis; Cancer Treatment; Deoxyribonucleic Acid; Gene Expression Data; Gene Expression Profiles; Medical Computing; Multiclass Tissue Discrimination; Neural Nets; Pattern Classification; Probabilistic Neural Networks; Probability

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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