DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples

Research article (Interdisciplinary Sciences Computational Life Sciences, 2022) · cited 10× · AI/ML
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DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples

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DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/dnrlcnn-a-cnn-framework-for-identifying-mirnadisease-associations-using-latent-feature-matrix-extraction-with-positive-s
MLA “DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dnrlcnn-a-cnn-framework-for-identifying-mirnadisease-associations-using-latent-feature-matrix-extraction-with-positive-s.
BibTeX @misc{4ortxyz_dnrlcnn-a-cnn-framework-for-identifying-mirnadisease-associations-using-latent-feature-matrix-extraction-with-positive-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples}}, year = {2026}, url = {https://4ort.xyz/entity/dnrlcnn-a-cnn-framework-for-identifying-mirnadisease-associations-using-latent-feature-matrix-extraction-with-positive-s}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples — https://4ort.xyz/entity/dnrlcnn-a-cnn-framework-for-identifying-mirnadisease-associations-using-latent-feature-matrix-extraction-with-positive-s (retrieved 2026-05-24)

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