Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics-Reference-Cited by-同舟云学术

Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics

Published:2021 Issue:3 Volume:54 Page:85-90
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Barberi Gianmarco,Benedetti Antonio,Diaz-Fernandez Paloma,Finka Gary,Bezzo Fabrizio,Barolo Massimiliano,Facco Pierantonio

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. Use of the bootstrap and permutation methods for a more robust variable importance in the projection metric for partial least squares regression;Afanador;Analytica Chimica Acta,2013

2. Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing—Application to influenza vaccine production;Duvigneau;PLoS computational biology,2020

3. Multi-and megavariate data analysis;Eriksson,2006

4. Using data analytics to accelerate biopharmaceutical process scale-up;Facco;Biochemical Engineering Journal,2020

5. Food and Drug Administration. (2004). Guidance for Industry, PAT-A Framework for Innovative Pharmaceutical Development, Manufacturing and Quality Assurance.

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