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Artificial Neural Network Prediction for Cancer Survival Time by Gene Expression Data

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3 Author(s)
Yen-Chen Chen ; Grad. Inst. of Biomed. Inf., Taipei Med. Univ., Taipei, Taiwan ; Wen-Wen Yang ; Hung-Wen Chiu

This study aimed at training artificial neural networks (ANN) to predict survival time in cancer patients by using microarray and clinical data. We analyzed public microarrays and clinical data sets in different kinds of cancer. We selected 15-30 genes (correlation coefficient>0.4) as ANN variables to train networks. The results shows ANN can predict survival time from Microarray data gene expression and the prediction made by the proposed neural models show a good agreement with the measurements.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009