An Association Rule-based CLIPS Program for Interactive Prediction of MSC Differentiation in Vitro

摘要：

In this paper, a software toolkit has been developed for in silica prediction of the differentiation destiny of Mesenchymal Stem Cells (MSCs) in vitro. The software toolkit was developed in CLIPS (C Language Integrated Production System) as an expert system, with a java-based GUI. This toolkit utilizes the rules obtained from previous experimental data via data mining techniques, based on which the prediction is to be made. Thus, the prediction accuracy can be affected by the amount and quality of the rules, which can be improved by both manual adjustment and expansion of the MSC differentiation database in future.

关键词： mesenchymal stem cell cell differentiation CLIPS data mining rule based

作者: Weiqi Wang Yanbo J.Wang Frans Coenen

作者单位: Rene Ba(n)ares-Alcantara, Zhanfeng Cui Department of Engineering Science, University of Oxford, Oxfo Information Management Center, China Minsheng Banking Corp., Ltd., 87606, Building No.8, 1 Zhongguan Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool,

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 406-410

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）