A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
| cam.orpheus.counter | 60 | |
| cam.orpheus.success | Tue Feb 01 18:59:13 GMT 2022 - Embargo updated | |
| dc.contributor.author | Bardozzo, Francesco | |
| dc.contributor.author | Lio', Pietro | |
| dc.contributor.author | Tagliaferri, Roberto | |
| dc.contributor.orcid | Lio, Pietro [0000-0002-0540-5053] | |
| dc.date.accessioned | 2020-01-28T00:32:27Z | |
| dc.date.available | 2020-01-28T00:32:27Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described. Therefore, the identification of bacterial metabolic pathways that are more regulated than others in term of their multi-omics follows from the analysis of these circuits . This is a consequence of the alternation of the omic values of codon usage and protein abundance along with the circuits. In this work, the E.Coli's Glycolysis and its multi-omic circuit features are shown as an example. | |
| dc.identifier.doi | 10.17863/CAM.48430 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/301349 | |
| dc.language.iso | eng | |
| dc.publisher.url | http://dx.doi.org/10.1093/bioinformatics/btaa966 | |
| dc.rights | All rights reserved | |
| dc.subject | q-bio.MN | |
| dc.subject | q-bio.MN | |
| dc.subject | cs.LG | |
| dc.subject | stat.ML | |
| dc.title | A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways | |
| dc.type | Conference Object | |
| prism.endingPage | 13 | |
| prism.publicationName | CoRR | |
| prism.startingPage | 13 | |
| prism.volume | 2016 | |
| pubs.conference-finish-date | 2016-09-03 | |
| pubs.conference-name | 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics | |
| pubs.conference-start-date | 2016-09-01 | |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
| rioxxterms.type | Conference Paper/Proceeding/Abstract | |
| rioxxterms.version | AM | |
| rioxxterms.versionofrecord | 10.17863/CAM.48430 |
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