A Data Mining Method to Find Differentially Expressed miRNAs Using Access Database Language

DOI

10.2991/mse-15.2016.43How to use a DOI?

Keywords

database language, data mining, breast cancer, miRNA

Abstract

Objective We use database language for data mining in order to find differentially expressed miRNAs. Methods We first construct the E-R model, then the data were converted into the appropriate format, and the converted data were imported into the database accurately. In the end, we extracted the data and carried out statistical analysis. Results MicroRNA's t test data show that there are differences of miRNA expressions between breast cancer patients of different nationalities. Conclusion Access database language can effectively assist data mining, and facilitates data for further mathematical analysis.

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  - Yafen Chen
AU  - Xiaoai Chen
AU  - Rong Wang
AU  - Yiwei Wang
AU  - Ping Zhou
AU  - Ke Wang
PY  - 2016/03
DA  - 2016/03
TI  - A Data Mining Method to Find Differentially Expressed miRNAs Using Access Database Language
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 251
EP  - 254
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.43
DO  - 10.2991/mse-15.2016.43
ID  - Chen2016/03
ER  -