Gene Prediction Based on One-Dimensional Image Segmentation

DOI

10.2991/iccia.2012.7How to use a DOI?

Keywords

gene prediction, image segmentation, voss mapping, 3-base periodicity, windowed fourier transform

Abstract

In the current study, using methods of signal processing to manage gene prediction has attracted great attention. At first, the voss mapping which can map the DNA alphabetic sequence into the numerical sequence and the 3-base periodicity of exon are introduced. Then a fixed-length sliding window approach and its feasibility are analyzed. It can be proved that when two exons are very close, gene prediction by only setting a threshold to the spectrum could not have good effect. To overcome this shortcoming, a new method based on one-dimensional image segmentation is proposed. Finally, simulation shows the short introns are culled commendably. Two evaluation indices are also introduced to demonstrate the effectiveness of this method.

Copyright

© 2013, 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  - Fei-Yu Wang
AU  - Zi-Wei Zheng
AU  - Wei-Hua Li
PY  - 2014/05
DA  - 2014/05
TI  - Gene Prediction Based on One-Dimensional Image Segmentation
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 29
EP  - 33
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.7
DO  - 10.2991/iccia.2012.7
ID  - Wang2014/05
ER  -