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Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems

Research article (Journal of Chromatography A, 2017) · cited 31× · AI/ML
academia openalex:W2620140578
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Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems

Summary

Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems is a scholarly article[1].

Key Facts

  • Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-dual-filtering-to-create-training-sets-leading-to-improved-accuracy-in-quantitative-structure-retention-relations
MLA “Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-dual-filtering-to-create-training-sets-leading-to-improved-accuracy-in-quantitative-structure-retention-relations.
BibTeX @misc{4ortxyz_use-of-dual-filtering-to-create-training-sets-leading-to-improved-accuracy-in-quantitative-structure-retention-relations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-dual-filtering-to-create-training-sets-leading-to-improved-accuracy-in-quantitative-structure-retention-relations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems — https://4ort.xyz/entity/use-of-dual-filtering-to-create-training-sets-leading-to-improved-accuracy-in-quantitative-structure-retention-relations (retrieved 2026-05-24)

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