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A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
Research article (Scientific Reports, 2024) · cited 10× · AI/ML
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
Summary
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks is a scholarly article[1].
Key Facts
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-interpretable-deep-transfer-learning-combining-diverse-learnable-parameters-for-improved-t2d-prediction-based-on
MLA“A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-interpretable-deep-transfer-learning-combining-diverse-learnable-parameters-for-improved-t2d-prediction-based-on.
BibTeX@misc{4ortxyz_a-novel-interpretable-deep-transfer-learning-combining-diverse-learnable-parameters-for-improved-t2d-prediction-based-on_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-interpretable-deep-transfer-learning-combining-diverse-learnable-parameters-for-improved-t2d-prediction-based-on}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks — https://4ort.xyz/entity/a-novel-interpretable-deep-transfer-learning-combining-diverse-learnable-parameters-for-improved-t2d-prediction-based-on (retrieved 2026-05-24)
