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Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
Research article (Briefings in Bioinformatics, 2022) · cited 46× · AI/ML
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
Summary
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture is a scholarly article[1].
Key Facts
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture's instance of is recorded as scholarly article[2].
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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). Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/adapt-kcr-a-novel-deep-learning-framework-for-accurate-prediction-of-lysine-crotonylation-sites-based-on-learning-embedd
MLA“Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adapt-kcr-a-novel-deep-learning-framework-for-accurate-prediction-of-lysine-crotonylation-sites-based-on-learning-embedd.
BibTeX@misc{4ortxyz_adapt-kcr-a-novel-deep-learning-framework-for-accurate-prediction-of-lysine-crotonylation-sites-based-on-learning-embedd_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture}}, year = {2026}, url = {https://4ort.xyz/entity/adapt-kcr-a-novel-deep-learning-framework-for-accurate-prediction-of-lysine-crotonylation-sites-based-on-learning-embedd}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture — https://4ort.xyz/entity/adapt-kcr-a-novel-deep-learning-framework-for-accurate-prediction-of-lysine-crotonylation-sites-based-on-learning-embedd (retrieved 2026-05-24)
