Home ›
Entities
› academia
› Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data
Research article (Frontiers in Cellular and Infection Microbiology, 2021) · cited 33× · AI/ML
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data
Summary
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data is a scholarly article[1].
Key Facts
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-from-limited-data-towards-best-practice-techniques-for-antimicrobial-resistance-prediction-from-whole-genome-se
MLA“Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-from-limited-data-towards-best-practice-techniques-for-antimicrobial-resistance-prediction-from-whole-genome-se.
BibTeX@misc{4ortxyz_learning-from-limited-data-towards-best-practice-techniques-for-antimicrobial-resistance-prediction-from-whole-genome-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data}}, year = {2026}, url = {https://4ort.xyz/entity/learning-from-limited-data-towards-best-practice-techniques-for-antimicrobial-resistance-prediction-from-whole-genome-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data — https://4ort.xyz/entity/learning-from-limited-data-towards-best-practice-techniques-for-antimicrobial-resistance-prediction-from-whole-genome-se (retrieved 2026-05-24)
