Abstract
Increasing attention is being paid to reducing the time taken from discovery to defining a final fermentation production process. Multivariate statistical data analysis and chemometric techniques can play an important role in contributing to the achievement of this aim by providing biologists and fermentation scientists with sophisticated data visualisation and data exploration tools. This paper presents a study of the application of a range of feature extraction techniques to data from shake flask experiments. investigatingrecombinant protein expression. carried out during the discovery phase of drug development.
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