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

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.

关键词： Microarray Artifical Nerual Network Survival time prediction

作者: Yen-Chen Chen Wen-Wen Yang Hung-Wen Chiu

作者单位: Graduate Institute of Biomedical Informatics Taipei Medical University Taipei,Taiwan Graduate Institute of Medical Sciences College of Medicine,Taipei Medical University Taipei,Taiwan Hung-Wen Chiu Graduate Institute of Biomedical Informatics Taipei Medical University Taipei,Taiwan

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）