Artificial neural network prediction for cancer survival time by gene expression data

Yen Chen Chen, Wen Wen Yang, Hung Wen Chiu

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
主出版物標題3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs
出版狀態已發佈 - 2009
事件3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, 中国
持續時間: 六月 11 2009六月 13 2009

其他

其他3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
國家中国
城市Beijing
期間6/11/096/13/09

ASJC Scopus subject areas

  • Biotechnology
  • Biomedical Engineering

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