Hyperbox Mixture Regression for process performance prediction in antibody production

Hyperbox Mixture Regression for process performance prediction in antibody production

This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall short due to time-series data’s complexity and high dimensionality. We propose a novel Hyperbox Mixture Regression (HMR) m...

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Bibliographic Details
Main Authors: Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Digital Chemical Engineering
Subjects:
Bioprocess performance prediction
Neuro-Fuzzy system
Hyperbox
Regression
Monoclonal antibodies
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508125000055

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http://www.sciencedirect.com/science/article/pii/S2772508125000055

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