A Comprehensive Data Mining Method of Constructing the Interaction Network of the Microrna Differential Expression

DOI

10.2991/mse-15.2016.42How to use a DOI?

Keywords

data mining method; interaction network; microrna; differential expression

Abstract

Objective To analyze the expression of microRNA in Chinese and Italy women by a series of data mining methods to rendering microRNA network. Methods Using T test, Pearson correlation method to deal with the data, Using Cytoscape3.2.1 to draw the interaction network, and do the analysis. Results After the methods, we have found the different microRNAs in expression of breast cancer, and it was found that there were differences in the pathogenesis of breast cancer between the two countries in Italy and China. Conclusion The data mining method designed by this research can be successfully found in the gene expression profile of microRNA in the two countries, the mechanism of breast cancer between different races has been studied.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rong Wang
AU  - Xiaoai Chen
AU  - Yafen Chen
AU  - Yiwei Wang
AU  - Ping Zhou
AU  - Guoming Yuan
PY  - 2016/03
DA  - 2016/03
TI  - A Comprehensive Data Mining Method of Constructing the Interaction Network of the Microrna Differential Expression
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 245
EP  - 250
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.42
DO  - 10.2991/mse-15.2016.42
ID  - Wang2016/03
ER  -