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Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes
Research article (Journal of Biological Engineering, 2018) · cited 17× · AI/ML
Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes
Summary
Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes is a scholarly article[1].
Key Facts
Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-analysis-of-microbial-flow-cytometry-data-from-nanoparticles-antibiotics-and-carbon-sources-perturbed-a
MLA“Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-analysis-of-microbial-flow-cytometry-data-from-nanoparticles-antibiotics-and-carbon-sources-perturbed-a.
BibTeX@misc{4ortxyz_machine-learning-analysis-of-microbial-flow-cytometry-data-from-nanoparticles-antibiotics-and-carbon-sources-perturbed-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-analysis-of-microbial-flow-cytometry-data-from-nanoparticles-antibiotics-and-carbon-sources-perturbed-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes — https://4ort.xyz/entity/machine-learning-analysis-of-microbial-flow-cytometry-data-from-nanoparticles-antibiotics-and-carbon-sources-perturbed-a (retrieved 2026-05-24)