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pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning
Research article (Scientific Reports, 2025) · cited 68× · AI/ML
pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning
Summary
pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning is a scholarly article[1].
Key Facts
pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/pacp-hybdeep-predicting-anticancer-peptides-using-binary-tree-growth-based-transformer-and-structural-feature-encoding-w
MLA“pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pacp-hybdeep-predicting-anticancer-peptides-using-binary-tree-growth-based-transformer-and-structural-feature-encoding-w.
BibTeX@misc{4ortxyz_pacp-hybdeep-predicting-anticancer-peptides-using-binary-tree-growth-based-transformer-and-structural-feature-encoding-w_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning}}, year = {2026}, url = {https://4ort.xyz/entity/pacp-hybdeep-predicting-anticancer-peptides-using-binary-tree-growth-based-transformer-and-structural-feature-encoding-w}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning — https://4ort.xyz/entity/pacp-hybdeep-predicting-anticancer-peptides-using-binary-tree-growth-based-transformer-and-structural-feature-encoding-w (retrieved 2026-05-24)
