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Integrated Data Analysis Model for Screening Cell Line Producer

  • Nor Fadhillah Mohamed AzminEmail author
Chapter

Abstract

The complexity of bioprocess data generated from the manufacture of recombinant monoclonal antibodies cell line sparks the chemometrics study of the datasets. The ultimate goal is to form a link between the data and its underlying biological patterns. A concatenated protocol, specifically discrete wavelet transform and multiway principal component analysis techniques, is recommended to successfully extract meaningful information from the complex datasets.

Keywords

Cell lines Monoclonal antibodies Screening Selection Algorithm Fourier transform infrared (FTIR) Near infrared (NIR) Electrospray ionization (ESI-MS) Principal component analysis (PCA) Binning Wavelet transform Score plot Loading plot Contribution plot 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Biotechnology Engineering, Kulliyyah of EngineeringInternational Islamic University MalaysiaKuala LumpurMalaysia

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