Comparison of data science workflows for root cause analysis of bioprocesses-Reference-Cited by-同舟云学术

Comparison of data science workflows for root cause analysis of bioprocesses

Published:2018-10-31 Issue:2 Volume:42 Page:245-256
ISSN:1615-7591
Container-title:Bioprocess and Biosystems Engineering
language:en
Short-container-title:Bioprocess Biosyst Eng

Author:

Borchert Daniel^ORCID,Suarez-Zuluaga Diego A.,Sagmeister Patrick,Thomassen Yvonne E.,Herwig Christoph

Funder

stichting life sciences & health tki

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Bioengineering,Biotechnology

Link

http://link.springer.com/article/10.1007/s00449-018-2029-6/fulltext.html

Reference16 articles.

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2. Tulsyan A, Garvin C, Ündey C (2018) Advances in industrial biopharmaceutical batch process monitoring: machine-learning methods for small data problems. Biotechnol Bioeng. https://doi.org/10.1002/bit.26605

3. Yu LX, Amidon G, Khan MA et al (2014) Understanding pharmaceutical quality by design. AAPS J 16:771–783. https://doi.org/10.1208/s12248-014-9598-3

4. FDA (2013) Root cause analysis for drugmakers-execseries.pdf. https://www.fdanews.com/ext/resources/files/archives/10113-01/Root%20Cause%20Analysis%20for%20Drugmakers-ExecSeries.pdf . Accessed 25 Feb 2018

5. Ahuja S, Jain S, Ram K (2015) Application of multivariate analysis and mass transfer principles for refinement of a 3-L bioreactor scale-down model-when shake flasks mimic 15,000-L bioreactors better. Biotechnol Prog 31:1370–1380. https://doi.org/10.1002/btpr.2134

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