Show simple item record

dc.contributor.authorCarbonell, P.
dc.contributor.authorRadivojevic, T.
dc.contributor.authorGarcia-Martin, H.
dc.date.accessioned2019-08-04T08:33:53Z
dc.date.available2019-08-04T08:33:53Z
dc.date.issued2019-07
dc.identifier.issn2161-5063
dc.identifier.urihttp://hdl.handle.net/20.500.11824/998
dc.description.abstractOur inability to predict the behavior of biological systems severely hampers progress in bioengineering and biomedical applications. We cannot predict the effect of genotype changes on phenotype, nor extrapolate the large-scale behavior from small-scale experiments. Machine learning techniques recently reached a new level of maturity, and are capable of providing the needed predictive power without a detailed mechanistic understanding. However, they require large amounts of data to be trained. The amount and quality of data required can only be produced through a combination of synthetic biology and automation, so as to generate a large diversity of biological systems with high reproducibility. A sustained investment in the intersection of synthetic biology, machine learning, and automation will drive forward predictive biology, and produce improved machine learning algorithms.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.titleOpportunities at the Intersection of Synthetic Biology, Machine Learning, and Automationen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1021/acssynbio.8b00540
dc.relation.publisherversionhttps://pubs.acs.org/doi/10.1021/acssynbio.8b00540en_US
dc.relation.projectIDES/1PE/SEV-2017-0718en_US
dc.relation.projectIDEUS/BERC/BERC.2018-2021en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleACS Synthetic Biologyen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España