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A decade in review: use of data analytics within the biopharmaceutical sector

Banner, M; Alosert, H; Spencer, C; Cheeks, M; Farid, SS; Thomas, M; Goldrick, S; (2021) A decade in review: use of data analytics within the biopharmaceutical sector. Current Opinion in Chemical Engineering , 34 10.1016/j.coche.2021.100758. Green open access

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Abstract

There are large amounts of data generated within the biopharmaceutical sector. Traditionally, data analysis methods labelled as multivariate data analysis have been the standard statistical technique applied to interrogate these complex data sets. However, more recently there has been a surge in the utilisation of a broader set of machine learning algorithms to further exploit these data. In this article, the adoption of data analysis techniques within the biopharmaceutical sector is evaluated through a review of journal articles and patents published within the last ten years. The papers objectives are to identify the most dominant algorithms applied across different applications areas within the biopharmaceutical sector and to explore whether there is a trend between the size of the data set and the algorithm adopted.

Type: Article
Title: A decade in review: use of data analytics within the biopharmaceutical sector
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.coche.2021.100758
Publisher version: https://doi.org/10.1016/j.coche.2021.100758
Language: English
Additional information: © 2021 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Biochemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology
URI: https://discovery.ucl.ac.uk/id/eprint/10139071
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