Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate producti...
Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture
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Publisher
England: BioMed Central
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Language
English
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England: BioMed Central
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The ability to quantitatively predict ecophysiological functions of microbial communities provides an important step to engineer microbiota for desired functions related to specific biochemical conversions. Here, we present the quantitative prediction of medium-chain carboxylate production in two continuous anaerobic bioreactors from 16S rRNA gene...
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Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture
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TN_cdi_doaj_primary_oai_doaj_org_article_cb54eb752f0a411c9dfef71b1ccd29d5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb54eb752f0a411c9dfef71b1ccd29d5
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ISSN
2049-2618
E-ISSN
2049-2618
DOI
10.1186/s40168-021-01219-2
