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.
| Original language | American English |
|---|---|
| Journal | Proceedings of the International Joint Conference on Neural Networks, 2003 |
| DOIs | |
| State | Published - Jan 1 2003 |
Keywords
- Binary Classification
- Cancer
- Cancer Data
- Cancer Diagnosis
- Cancer Treatment
- DNA
- DNA Microarray Technologies
- Deoxyribonucleic Acid
- Gene Expression Data
- Gene Expression Profiles
- Medical Computing
- Multiclass Tissue Discrimination
- Neural Nets
- Pattern Classification
- Probabilistic Neural Networks
- Probability
Disciplines
- Electrical and Computer Engineering
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