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Center of Excellence In Genomic Medicine Research
Document Details
Document Type
:
Article In Journal
Document Title
:
iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework
iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework
Document Language
:
English
Abstract
:
Motivation: Regulatory DNA elements are associated with DNase I hypersensitive sites (DHSs). Accordingly, identication of DHSs will provide useful insights for in-depth investigation into the function of noncoding genomic regions. Results: In this study, using the strategy of ensemble learning framework, we proposed a new predictor called iDHS-EL for identifying the location of DHS in human genome. It was formed by fusing three individual Random Forest (RF) classiers into an ensemble predictor. The three RF operators were respectively based on the three special modes of the general pseudo nucleotide composition (PseKNC): (i) kmer, (ii) reverse complement kmer and (iii) pseudo dinucleotide composition. It has been demonstrated that the new predictor remarkably outperforms the relevant state-ofthe- art methods in both accuracy and stability. Availability and Implementation: For the convenience of most experimental scientists, a web server for iDHS-EL is established at http://bioinformatics.hitsz.edu.cn/iDHS-EL, which is the rst web-server predictor ever established for identifying DHSs, and by which users can easily get their desired results without the need to go through the mathematical details. We anticipate that iDHS-EL will become a very useful high throughput tool for genome analysis.
ISSN
:
1460-2059
Journal Name
:
Bioinformatics
Volume
:
32
Issue Number
:
16
Publishing Year
:
1437 AH
2016 AD
Article Type
:
Article
Added Date
:
Wednesday, July 12, 2017
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Liu B
B, Liu
Researcher
Doctorate
Long R
R, Long
Researcher
Doctorate
Chou KC
KC, Chou
Researcher
Doctorate
Files
File Name
Type
Description
41970.pdf
pdf
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