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Machine Learning Establishes Single-Cell Calcium Dynamics as an Early Indicator of Antibiotic Response
Changes in bacterial physiology necessarily precede cell death in response to antibiotics. Herein we investigate the early disruption of Ca(2+) homeostasis as a marker for antibiotic response. Using a machine learning framework, we quantify the temporal information encoded in single-cell Ca(2+) dyna...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148219/ https://www.ncbi.nlm.nih.gov/pubmed/34063175 http://dx.doi.org/10.3390/microorganisms9051000 |