Analysis of Transformed Upstream Bioprocess Data Provides Insights into Biological System Variation

In recent years, multivariate data analysis (MVDA) and modeling approaches have found increasing applications for upstream bioprocess studies (e.g., monitoring, development, optimization, scale‐up, etc.). Many of these studies look at variations in the concentrations of metabolites and cell‐based measurements. However, these measures are subject to system inherent variations (e.g., changes in metabolic activity) but also intentional operational...