A decade in review: use of data analytics within the biopharmaceutical sector.
Journal
Current opinion in chemical engineering
ISSN: 2211-3398
Titre abrégé: Curr Opin Chem Eng
Pays: Netherlands
ID NLM: 101590557
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
entrez:
20
12
2021
pubmed:
21
12
2021
medline:
21
12
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34926134
doi: 10.1016/j.coche.2021.100758
pii: S2211-3398(21)00090-3
pmc: PMC8665905
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
NoneInformations de copyright
© 2021 The Authors.
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