Abstract
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.
Original language | English |
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Title of host publication | 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 |
DOIs | |
Publication status | Published - 2009 |
Event | 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China Duration: Jun 11 2009 → Jun 13 2009 |
Other
Other | 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 |
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Country/Territory | China |
City | Beijing |
Period | 6/11/09 → 6/13/09 |
Keywords
- Artifical Nerual Network
- Microarray
- Survival time prediction
ASJC Scopus subject areas
- Biotechnology
- Biomedical Engineering