Selection and mapping of DNA structural features for short gene recognition
by Nancy Yu Song; Hong Yan
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 6, No. 6, 2012

Abstract: This paper presents two new approaches for short gene recognition in DNA sequences. Three of fourteen DNA structural features are selected based on their classification power by a modified auto-regressive model method. Experiments on human genome show that the method is superior to existing exon detection algorithms. However, this method requires computing time. To overcome this problem, the DNA structural features are mapped to a set of new values. The three signals generated by the mapped feature values are normalised and averaged before their power spectral density is estimated. The computational complexity is reduced substantially using the feature mapping method.

Online publication date: Wed, 17-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com