Proceedings of the 2016 International Conference on Biomedical and Biological Engineering

A New Method to Identify Housekeeping Genes and Tissue Special Genes

Authors
Jixian Rao, Wei Liu, Hongwei Xie
Corresponding Author
Jixian Rao
Available Online July 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Biomedical and Biological Engineering
Part of series
Advances in Biological Sciences Research
Publication Date
July 2016
ISBN
978-94-6252-216-9
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-16.2016.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Biomedical and Biological Engineering
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-16.2016.5
DO  - https://doi.org/10.2991/bbe-16.2016.5
ID  - Rao2016/07
ER  -