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A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination
Research article (Computational Biology and Chemistry, 2015) · cited 23× · AI/ML
A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination
Summary
A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination is a scholarly article[1].
Key Facts
A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-highly-accurate-protein-structural-class-prediction-approach-using-auto-cross-covariance-transformation-and-recursive-
MLA“A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-highly-accurate-protein-structural-class-prediction-approach-using-auto-cross-covariance-transformation-and-recursive-.
BibTeX@misc{4ortxyz_a-highly-accurate-protein-structural-class-prediction-approach-using-auto-cross-covariance-transformation-and-recursive-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination}}, year = {2026}, url = {https://4ort.xyz/entity/a-highly-accurate-protein-structural-class-prediction-approach-using-auto-cross-covariance-transformation-and-recursive-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination — https://4ort.xyz/entity/a-highly-accurate-protein-structural-class-prediction-approach-using-auto-cross-covariance-transformation-and-recursive- (retrieved 2026-05-24)
