GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction

Research article (Computers in Biology and Medicine, 2023) · cited 13× · AI/ML
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GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction

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GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/gcnfold-a-novel-lightweight-model-with-valid-extractors-for-rna-secondary-structure-prediction
MLA “GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gcnfold-a-novel-lightweight-model-with-valid-extractors-for-rna-secondary-structure-prediction.
BibTeX @misc{4ortxyz_gcnfold-a-novel-lightweight-model-with-valid-extractors-for-rna-secondary-structure-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction}}, year = {2026}, url = {https://4ort.xyz/entity/gcnfold-a-novel-lightweight-model-with-valid-extractors-for-rna-secondary-structure-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction — https://4ort.xyz/entity/gcnfold-a-novel-lightweight-model-with-valid-extractors-for-rna-secondary-structure-prediction (retrieved 2026-05-24)

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