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CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification

Research article (Neural Computing and Applications, 2021) · cited 20× · AI/ML
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CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification

Summary

CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification is a scholarly article[1].

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  • CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification's instance of is recorded as scholarly article[2].

Related Entities

Andreas Dengel

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/circnet-an-encoderdecoder-based-convolution-neural-network-cnn-for-circular-rna-identification
MLA “CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/circnet-an-encoderdecoder-based-convolution-neural-network-cnn-for-circular-rna-identification.
BibTeX @misc{4ortxyz_circnet-an-encoderdecoder-based-convolution-neural-network-cnn-for-circular-rna-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification}}, year = {2026}, url = {https://4ort.xyz/entity/circnet-an-encoderdecoder-based-convolution-neural-network-cnn-for-circular-rna-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CircNet: an encoder–decoder-based convolution neural network (CNN) for circular RNA identification — https://4ort.xyz/entity/circnet-an-encoderdecoder-based-convolution-neural-network-cnn-for-circular-rna-identification (retrieved 2026-05-24)

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