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A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine
Research article (SAR and QSAR in environmental research, 2018) · cited 26× · AI/ML
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine
Summary
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine is a scholarly article[1].
Key Facts
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-binary-qsar-model-for-classifying-neuraminidase-inhibitors-of-influenza-a-viruses-h1n1-using-the-combined-minimum-redu
MLA“A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-binary-qsar-model-for-classifying-neuraminidase-inhibitors-of-influenza-a-viruses-h1n1-using-the-combined-minimum-redu.
BibTeX@misc{4ortxyz_a-binary-qsar-model-for-classifying-neuraminidase-inhibitors-of-influenza-a-viruses-h1n1-using-the-combined-minimum-redu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/a-binary-qsar-model-for-classifying-neuraminidase-inhibitors-of-influenza-a-viruses-h1n1-using-the-combined-minimum-redu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine — https://4ort.xyz/entity/a-binary-qsar-model-for-classifying-neuraminidase-inhibitors-of-influenza-a-viruses-h1n1-using-the-combined-minimum-redu (retrieved 2026-05-24)
