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Probabilistic Neural Networks for Multi-class Tissue Discrimination with Gene Expression Data

    • Missouri University of Science and Technology

    Research output: Contribution to journalArticlepeer-review

    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.

    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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