enDNA-Prot : Identification of DNA-Binding Proteins by Applying Ensemble Learning
Joint Authors
Zou, Quan
Wang, Xiaolong
Yao, Lin
Xu, Ruifeng
Liu, Bin
He, Yulan
Zhou, Jiyun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
DNA-binding proteins are crucial for various cellular processes, such as recognition of specific nucleotide, regulation of transcription, and regulation of gene expression.
Developing an effective model for identifying DNA-binding proteins is an urgent research problem.
Up to now, many methods have been proposed, but most of them focus on only one classifier and cannot make full use of the large number of negative samples to improve predicting performance.
This study proposed a predictor called enDNA-Prot for DNA-binding protein identification by employing the ensemble learning technique.
Experiential results showed that enDNA-Prot was comparable with DNA-Prot and outperformed DNAbinder and iDNA-Prot with performance improvement in the range of 3.97–9.52% in ACC and 0.08–0.19 in MCC.
Furthermore, when the benchmark dataset was expanded with negative samples, the performance of enDNA-Prot outperformed the three existing methods by 2.83–16.63% in terms of ACC and 0.02–0.16 in terms of MCC.
It indicated that enDNA-Prot is an effective method for DNA-binding protein identification and expanding training dataset with negative samples can improve its performance.
For the convenience of the vast majority of experimental scientists, we developed a user-friendly web-server for enDNA-Prot which is freely accessible to the public.
American Psychological Association (APA)
Xu, Ruifeng& Zhou, Jiyun& Liu, Bin& Yao, Lin& He, Yulan& Zou, Quan…[et al.]. 2014. enDNA-Prot : Identification of DNA-Binding Proteins by Applying Ensemble Learning. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461123
Modern Language Association (MLA)
Xu, Ruifeng…[et al.]. enDNA-Prot : Identification of DNA-Binding Proteins by Applying Ensemble Learning. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-461123
American Medical Association (AMA)
Xu, Ruifeng& Zhou, Jiyun& Liu, Bin& Yao, Lin& He, Yulan& Zou, Quan…[et al.]. enDNA-Prot : Identification of DNA-Binding Proteins by Applying Ensemble Learning. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461123