Support Vector and Locally Weighted regressions to monitor monoclonal antibody glycosylation during CHO cell culture processes, an enhanced alternative to Partial Least Squares regression-Reference-Cited by-同舟云学术

Support Vector and Locally Weighted regressions to monitor monoclonal antibody glycosylation during CHO cell culture processes, an enhanced alternative to Partial Least Squares regression

Published:2020-02 Issue: Volume:154 Page:107457
ISSN:1369-703X
Container-title:Biochemical Engineering Journal
language:en
Short-container-title:Biochemical Engineering Journal

Author:

Zavala-Ortiz Daniel Arturo^ORCID,Ebel Bruno^ORCID,Li Meng-Yao,Barradas-Dermitz Dulce María,Hayward-Jones Patricia Margaret,Aguilar-Uscanga María Guadalupe^ORCID,Marc Annie,Guedon Emmanuel

Funder

National Council of Science and Technology of Mexico

Veracruz Institute of Technology

French Ministry of Europe and Foreign Affairs for an Eiffel Excellence

French National Agency of the Research

Publisher

Elsevier BV

Subject

Biomedical Engineering,Environmental Engineering,Bioengineering,Biotechnology

Reference35 articles.

1. Advances in on-line monitoring and control of mammalian cell cultures: supporting the PAT initiative;Teixeira;Biotechnol. Adv.,2009

2. Comparison of LC and LC/MS methods for quantifying N-glycosylation in recombinant IgGs;Sinha;J. Am. Soc. Mass Spectrom.,2008