Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data
Summary
Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data is a scholarly article[1].
Key Facts
Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data's instance of is recorded as scholarly article[2].
References
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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). Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data. Retrieved May 24, 2026, from https://4ort.xyz/entity/lilikoi-an-r-package-for-personalized-pathway-based-classification-modeling-using-metabolomics-data
MLA“Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lilikoi-an-r-package-for-personalized-pathway-based-classification-modeling-using-metabolomics-data.
BibTeX@misc{4ortxyz_lilikoi-an-r-package-for-personalized-pathway-based-classification-modeling-using-metabolomics-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data}}, year = {2026}, url = {https://4ort.xyz/entity/lilikoi-an-r-package-for-personalized-pathway-based-classification-modeling-using-metabolomics-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data — https://4ort.xyz/entity/lilikoi-an-r-package-for-personalized-pathway-based-classification-modeling-using-metabolomics-data (retrieved 2026-05-24)
