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

Guido Zampieri, Macauley Coggins, Giorgio Valle, Claudio Angione

    Research output: Contribution to conferencePaper

    254 Downloads (Pure)
    Original languageEnglish
    DOIs
    Publication statusPublished - 20 Nov 2017
    Event2nd International Electronic Conference of Metabolomics -
    Duration: 20 Nov 20171 Dec 2017

    Conference

    Conference2nd International Electronic Conference of Metabolomics
    Period20/11/171/12/17

    Bibliographical note

    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

    Cite this

    Zampieri, G., Coggins, M., Valle, G., & Angione, C. (2017). A poly-omics machine-learning method to predict metabolite production in CHO cells. Paper presented at 2nd International Electronic Conference of Metabolomics, . https://doi.org/10.3390/iecm-2-04993