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AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Research article (Journal of Chemical Information and Modeling, 2023) · cited 39× · AI/ML
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Summary
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree is a scholarly article[1].
Key Facts
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Retrieved May 24, 2026, from https://4ort.xyz/entity/afp-spts-an-accurate-prediction-of-antifreeze-proteins-using-sequential-and-pseudo-tri-slicing-evolutionary-features-wit
MLA“AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/afp-spts-an-accurate-prediction-of-antifreeze-proteins-using-sequential-and-pseudo-tri-slicing-evolutionary-features-wit.
BibTeX@misc{4ortxyz_afp-spts-an-accurate-prediction-of-antifreeze-proteins-using-sequential-and-pseudo-tri-slicing-evolutionary-features-wit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree}}, year = {2026}, url = {https://4ort.xyz/entity/afp-spts-an-accurate-prediction-of-antifreeze-proteins-using-sequential-and-pseudo-tri-slicing-evolutionary-features-wit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree — https://4ort.xyz/entity/afp-spts-an-accurate-prediction-of-antifreeze-proteins-using-sequential-and-pseudo-tri-slicing-evolutionary-features-wit (retrieved 2026-05-24)