A versatile active learning workflow for optimization of genetic and metabolic networks
A versatile active learning workflow for optimization of genetic and metabolic networks
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Optimization of biological networks is often limited by wet lab labor and cost, and the lack of convenient computational tools. Here, we describe METIS, a versatile active machine learning workflow with a simple online interface for the data-driven optimization of biological targets with minimal experiments. We demonstrate our workflow for various...
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A versatile active learning workflow for optimization of genetic and metabolic networks
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TN_cdi_doaj_primary_oai_doaj_org_article_b8a33041772a47edb859903b3d19f8ed
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b8a33041772a47edb859903b3d19f8ed
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-022-31245-z
