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Shared subspace-bas...
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization
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- Ding, Yijie (författare)
- University of Electronic Science and Technology of China, Quzhou, PR China
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- Tiwari, Prayag, 1991- (författare)
- Högskolan i Halmstad,Akademin för informationsteknologi
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- Guo, Fei (författare)
- School of Computer Science and Engineering, Central South University, Changsha, PR China
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- Zou, Quan (författare)
- University of Electronic Science and Technology of China, Chengdu, PR China
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(creator_code:org_t)
- Oxford : Elsevier, 2022
- 2022
- Engelska.
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Ingår i: Neural Networks. - Oxford : Elsevier. - 0893-6080 .- 1879-2782. ; 156, s. 170-178
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Non-coding RNAs (ncRNAs) play an important role in revealing the mechanism of human disease for anti-tumor and anti-virus substances. Detecting subcellular locations of ncRNAs is a necessary way to study ncRNA. Traditional biochemical methods are time-consuming and labor-intensive, and computational-based methods can help detect the location of ncRNAs on a large scale. However, many models did not consider the correlation information among multiple subcellular localizations of ncRNAs. This study proposes a radial basis function neural network based on shared subspace learning (RBFNN-SSL), which extract shared structures in multi-labels. To evaluate performance, our classifier is tested on three ncRNA datasets. Our model achieves better performance in experimental results. © 2022 The Author(s)
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- Biological sequence classification
- Shared subspace learning
- Radial basis function neural networks
- Multi-label classification
- Hälsoinnovation
- Health Innovation
- Information driven care
- Informationsdriven vård
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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