A poly-omics machine-learning method to predict metabolite production in CHO cells

Hdl Handle:
http://hdl.handle.net/10149/621547
Title:
A poly-omics machine-learning method to predict metabolite production in CHO cells
Authors:
Zampieri, G. (Guido); Coggins, M. (Macauley); Valle, G. (Giorgio); Angione, C. (Claudio) ( 0000-0002-3140-7909 )
Affiliation:
Teesside University. Digital Futures Institute
Citation:
Zampieri, G., Coggins, M., Valle, G., Angione, C. (2017) 'A poly-omics machine-learning method to predict metabolite production in CHO cells', 2nd International Electronic Conference of Metabolomics, online, 20 Nov - 1 Dec 2017 : DOI: 10.3390/iecm-2-04993
Publisher:
MDPI AG
Conference:
2nd International Electronic Conference of Metabolomics; online, 20 Nov - 1 Dec 2017
Issue Date:
20-Nov-2017
URI:
http://hdl.handle.net/10149/621547
DOI:
10.3390/iecm-2-04993
Additional Links:
http://sciforum.net/conference/iecm-2/paper/4993
Type:
Meetings and Proceedings
Language:
en
Rights:
Open access publication under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). For full details see http://sciforum.net/conference/173/paper/4993 [Accessed: 08/12/2017]

Full metadata record

DC FieldValue Language
dc.contributor.authorZampieri, G. (Guido)en
dc.contributor.authorCoggins, M. (Macauley)en
dc.contributor.authorValle, G. (Giorgio)en
dc.contributor.authorAngione, C. (Claudio)en
dc.date.accessioned2017-12-08T16:36:55Z-
dc.date.available2017-12-08T16:36:55Z-
dc.date.issued2017-11-20-
dc.identifier.doi10.3390/iecm-2-04993-
dc.identifier.urihttp://hdl.handle.net/10149/621547-
dc.language.isoenen
dc.publisherMDPI AGen
dc.relation.urlhttp://sciforum.net/conference/iecm-2/paper/4993en
dc.rightsOpen access publication under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). For full details see http://sciforum.net/conference/173/paper/4993 [Accessed: 08/12/2017]en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA poly-omics machine-learning method to predict metabolite production in CHO cellsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. Digital Futures Instituteen
dc.identifier.conference2nd International Electronic Conference of Metabolomics; online, 20 Nov - 1 Dec 2017en
or.citation.harvardZampieri, G., Coggins, M., Valle, G., Angione, C. (2017) 'A poly-omics machine-learning method to predict metabolite production in CHO cells', 2nd International Electronic Conference of Metabolomics, online, 20 Nov - 1 Dec 2017 : DOI: 10.3390/iecm-2-04993-
dc.eprint.versionPublisher's Version/PDFen
dc.embargoNoneen
dc.date.accepted2017-
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