Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation

In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence the destiny of mammalian MSCs has been constructed. This paper introduces Classification Association Rule Mining (CARM) as a data mining technique in the domain of tissue engineering and initiates a new promising research field. The experimental results show that the proposed approach performs well with respect to the accuracy of (classification) prediction. Moreover, it was found that some rules mined from the constructed MSC database are meaningful and useful.

• Type: Conference
• Year: 2009
• Where: INCDM
• Authors: Weiqi Wang, Yanbo J. Wang, René Bañares-Alcántara, Zhanfeng Cui, Frans Coenen
• Keywords: Data Mining, INCDM 2009, Mammalian Mesenchymal Stem, Mammalian Mscs