A New Method to Identify Housekeeping Genes and Tissue Special Genes

DOI

10.2991/bbe-16.2016.5How to use a DOI?

Keywords

: Housekeeping genes (HK genes), Tissue special genes (TS genes),SVM (support vector machine), Machine Learning.

Abstract

Despite thedetection methods of HK genes and TS genes were various, without the standard database, we could not judge which one was the best classifier. In this paper, we built a standard database of HK genes and TS genes, reviewed and evaluated the existed methods. By analyzing the features of HK genes and TS genes, we summarized 7 features: relative expression breadth (REB), signal to noise (S/N), tissue special index (TSI), Average, standard deviation (SD), Max/Average, dispersion measure (DPM). Based on the features, we used a new SVM (support vector machine) model to have identified more than 10000 HK genes and 6947 TS genes. It is the best classifier about HK genes and TS genes identification now.

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  - Jixian Rao
AU  - Wei Liu
AU  - Hongwei Xie
PY  - 2016/07
DA  - 2016/07
TI  - A New Method to Identify Housekeeping Genes and Tissue Special Genes
BT  - Proceedings of the 2016 International Conference on Biomedical and Biological Engineering
PB  - Atlantis Press
SP  - 22
EP  - 27
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-16.2016.5
DO  - 10.2991/bbe-16.2016.5
ID  - Rao2016/07
ER  -