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). Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/umami-gcforest-construction-of-a-predictive-model-for-umami-peptides-based-on-deep-forest
MLA“Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/umami-gcforest-construction-of-a-predictive-model-for-umami-peptides-based-on-deep-forest.
BibTeX@misc{4ortxyz_umami-gcforest-construction-of-a-predictive-model-for-umami-peptides-based-on-deep-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest}}, year = {2026}, url = {https://4ort.xyz/entity/umami-gcforest-construction-of-a-predictive-model-for-umami-peptides-based-on-deep-forest}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest — https://4ort.xyz/entity/umami-gcforest-construction-of-a-predictive-model-for-umami-peptides-based-on-deep-forest (retrieved 2026-05-24)
