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

Yen Chen Chen; Wen Wen Yang; Hung Wen Chiu

doi:10.1109/ICBBE.2009.5162409

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

5 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	https://doi.org/10.1109/ICBBE.2009.5162409
出版狀態	已發佈 - 2009
事件	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, 中國持續時間: 6月 11 2009 → 6月 13 2009

出版系列

名字	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

其他

其他	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
國家/地區	中國
城市	Beijing
期間	6/11/09 → 6/13/09

UN SDG

此研究成果有助於以下永續發展目標

SDG 3 良好的健康和福祉

ASJC Scopus subject areas

生物技術
生物醫學工程

存取文件

10.1109/ICBBE.2009.5162409

其它文件與鏈接

Link to publication in Scopus

引用此

Chen, Y. C., Yang, W. W., & Chiu, H. W. (2009). Artificial neural network prediction for cancer survival time by gene expression data. 於 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 文章 5162409 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009). https://doi.org/10.1109/ICBBE.2009.5162409

Artificial neural network prediction for cancer survival time by gene expression data. / Chen, Yen Chen; Yang, Wen Wen; Chiu, Hung Wen.
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 2009. 5162409 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009).

研究成果: 書貢獻/報告類型 › 會議貢獻

Chen, YC, Yang, WW & Chiu, HW 2009, Artificial neural network prediction for cancer survival time by gene expression data. 於 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009., 5162409, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, 中國, 6/11/09. https://doi.org/10.1109/ICBBE.2009.5162409

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title = "Artificial neural network prediction for cancer survival time by gene expression data",

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.",

keywords = "Artifical Nerual Network, Microarray, Survival time prediction",

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year = "2009",

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AU - Chen, Yen Chen

AU - Yang, Wen Wen

AU - Chiu, Hung Wen

PY - 2009

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N2 - 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.

AB - 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.

KW - Artifical Nerual Network

KW - Microarray

KW - Survival time prediction

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M3 - Conference contribution

AN - SCOPUS:72749096058

SN - 9781424429028

T3 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Y2 - 11 June 2009 through 13 June 2009

ER -

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

摘要

出版系列

其他

UN SDG

ASJC Scopus subject areas

存取文件

其它文件與鏈接

指紋

引用此