Prediction of DNase I Hypersensitive Sites by Using Pseudo Nucleotide Compositions

Joint Authors

Jiang, Ning
Liu, Nan
Feng, Peng-Mian

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-19

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

DNase I hypersensitive sites (DHS) associated with a wide variety of regulatory DNA elements.

Knowledge about the locations of DHS is helpful for deciphering the function of noncoding genomic regions.

With the acceleration of genome sequences in the postgenomic age, it is highly desired to develop cost-effective computational methods to identify DHS.

In the present work, a support vector machine based model was proposed to identify DHS by using the pseudo dinucleotide composition.

In the jackknife test, the proposed model obtained an accuracy of 83%, which is competitive with that of the existing method.

This result suggests that the proposed model may become a useful tool for DHS identifications.

American Psychological Association (APA)

Feng, Peng-Mian& Jiang, Ning& Liu, Nan. 2014. Prediction of DNase I Hypersensitive Sites by Using Pseudo Nucleotide Compositions. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1050850

Modern Language Association (MLA)

Feng, Peng-Mian…[et al.]. Prediction of DNase I Hypersensitive Sites by Using Pseudo Nucleotide Compositions. The Scientific World Journal No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-1050850

American Medical Association (AMA)

Feng, Peng-Mian& Jiang, Ning& Liu, Nan. Prediction of DNase I Hypersensitive Sites by Using Pseudo Nucleotide Compositions. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1050850

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050850