Reconstructing Gene Regulation Network based on Conditional Mutual Information

DOI

10.2991/mecae-17.2017.7How to use a DOI?

Keywords

Mutual information, Conditional mutual information, Gene expression data, Conditions Relative Average Entropy.

Abstract

The purpose of gene regulatory network construction is to deduce the potential relationship between genes in gene expression data. In this paper, the algorithm CMICRAT is used to construct the gene-directed undirected graphs based on the mutual information and Conditional mutual information by the gene expression data, and then use the CRAE to determine the direction of the undirected graph. The experimental results show that the proposed algorithm can improve the accuracy of constructing the gene regulation network by experimentally validating the gene expression data of DREAM4 gene expression data in international biological competition.

Copyright

© 2017, 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  - Bei Yang
AU  - Yaohui Xu
PY  - 2017/03
DA  - 2017/03
TI  - Reconstructing Gene Regulation Network based on Conditional Mutual Information
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 39
EP  - 42
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.7
DO  - 10.2991/mecae-17.2017.7
ID  - Yang2017/03
ER  -