Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural Network
Joint Authors
Li, Qingwen
Xu, Lei
Li, Qingyuan
Zhang, Lichao
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Enhancers are noncoding fragments in DNA sequences, which play an important role in gene transcription and translation.
However, due to their high free scattering and positional variability, the identification and classification of enhancers have a higher level of complexity than those of coding genes.
In order to solve this problem, many computer studies have been carried out in this field, but there are still some deficiencies in these prediction models.
In this paper, we use various feature extraction strategies, dimension reduction technology, and a comprehensive application of machine model and recurrent neural network model to achieve an accurate prediction of enhancer identification and classification with the accuracy of was 76.7% and 84.9%, respectively.
The model proposed in this paper is superior to the previous methods in performance index or feature dimension, which provides inspiration for the prediction of enhancers by computer technology in the future.
American Psychological Association (APA)
Li, Qingwen& Xu, Lei& Li, Qingyuan& Zhang, Lichao. 2020. Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural Network. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139637
Modern Language Association (MLA)
Li, Qingwen…[et al.]. Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural Network. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139637
American Medical Association (AMA)
Li, Qingwen& Xu, Lei& Li, Qingyuan& Zhang, Lichao. Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural Network. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139637
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139637