Serum-Free Medium Optimization Based on Trial Design and Support Vector Regression
Joint Authors
Xu, Jian
Li, Zhi-hui
Wang, Deng
Sheng, Hai-lin
Liu, Yu
Yan, Fang-Rong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The Plackett-Burman design and support vector machine (SVM) were reported to be used on many fields such as some feature selections, protein structure prediction, or forecasting of other situations.
Here, with suspension adapted Chinese hamster ovary (CHO) cells as the object of study, a serum-free medium for the culture of CHO cells in suspension was optimized by this method.
Support vector machine based on genetic algorithm was used to predict the growth rate of CHO and prove the results from the trial designs.
Experimental results indicated that ZnSO4, transferrin, and bovine serum albumin (BSA) were important ones.
The same conclusion was arrived at when the support vector regression model analyzed the experimental results.
With the methods mentioned, the influence of 7 medium supplements on the growth of CHO cells in suspension was evaluated efficiently.
American Psychological Association (APA)
Xu, Jian& Yan, Fang-Rong& Li, Zhi-hui& Wang, Deng& Sheng, Hai-lin& Liu, Yu. 2014. Serum-Free Medium Optimization Based on Trial Design and Support Vector Regression. BioMed Research International،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034415
Modern Language Association (MLA)
Xu, Jian…[et al.]. Serum-Free Medium Optimization Based on Trial Design and Support Vector Regression. BioMed Research International No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034415
American Medical Association (AMA)
Xu, Jian& Yan, Fang-Rong& Li, Zhi-hui& Wang, Deng& Sheng, Hai-lin& Liu, Yu. Serum-Free Medium Optimization Based on Trial Design and Support Vector Regression. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034415