Characterization of cysteine related variants in an IgG2 antibody by LC–MS with an automated data analysis approach

2015 ◽  
Vol 997 ◽  
pp. 30-37 ◽  
Author(s):  
Yuling Zhang ◽  
Robert Bailey ◽  
Nancy Nightlinger ◽  
Alison Gillespie ◽  
Alain Balland ◽  
...  
Author(s):  
Edward M. Connelly

Automated Data Analysis (ADA) is a powerful, flexible analysis tool for systematically building performance determinants. ADA is designed to assist analysts in assessing the linkage from system processes to outcomes. It allows for or accounts for the varying conditions during performances and permits formation of complex analyses which extract relevant information from multiple variables while ignoring irrelevant data from the data base. In particular, ADA permits: 1. Focus on selected portions of the performance space, 2. Characterization of the system processes and examination of the relationship between system processes and outcomes, 3. Building analysis variables which can be made simple or as complex as necessary as knowledge of the importance of system processes to outcomes is obtained, and 4. Use of powerful prestructured analysis tools.


Author(s):  
Daniel Baum ◽  
Felix Herter ◽  
John Møller Larsen ◽  
Achim Lichtenberger ◽  
Rubina Raja

Author(s):  
Lena Magdalena ◽  
R. Rizal Isnanto ◽  
Adi Wibowo ◽  
Budi Warsito

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