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Bayesian calibration, process modeling and uncertainty quantification in biotechnology
High-throughput experimentation has revolutionized data-driven experimental sciences and opened the door to the application of machine learning techniques. Nevertheless, the quality of any data analysis strongly depends on the quality of the data and specifically the degree to which random effects i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939798/ https://www.ncbi.nlm.nih.gov/pubmed/35255090 http://dx.doi.org/10.1371/journal.pcbi.1009223 |