The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations

Biotechnology Journal

Volumn 10, Issue 11, 2015, Pages 1770-1782

  Melcher, Michael ^a,b   Scharl, Theresa ^a   Spangl, Bernhard ^a,b   Luchner, Markus ^a,b   Cserjan, Monika ^a,b   Bayer, Karl ^a,b   Leisch, Friedrich ^a,b   Striedner, Gerald ^a,b  

^a AUSTRIAN CENTRE OF INDUSTRIAL BIOTECHNOLOGY   (Austria)

^b UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Artificial neural networks; Process analytical technology; Quality by design; Random forest; Recombinant protein production

Indexed keywords

ARTIFICIAL INTELLIGENCE; CULTIVATION; DECISION TREES; ESCHERICHIA COLI; FERMENTATION; FLUORESCENCE SPECTROSCOPY; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; PROCESS CONTROL; PROCESS MONITORING; PRODUCT DESIGN; PROTEINS; QUALITY ASSURANCE; QUALITY CONTROL;

PROCESS ANALYTICAL TECHNOLOGY; QUALITY ASSURANCE STRATEGIES; QUALITY BY DESIGNS; RANDOM FORESTS; RECOMBINANT ESCHERICHIA COLI; RECOMBINANT PROTEIN PRODUCTIONS; SPECTROSCOPIC INFORMATION; STATISTICAL TECHNIQUES;

RECOMBINANT PROTEINS;

RECOMBINANT PROTEIN;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMASS; DRY MASS; ESCHERICHIA COLI; FED BATCH FERMENTATION; FLUORESCENCE SPECTROSCOPY; INFORMATION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS MONITORING; RANDOM FOREST; BIOREACTOR; DECISION TREE; FERMENTATION; GENETICS; METABOLISM; PROCEDURES; PROTEIN ENGINEERING; STATISTICAL MODEL;

BIOMASS; BIOREACTORS; DECISION TREES; ESCHERICHIA COLI; FERMENTATION; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PROTEIN ENGINEERING; RECOMBINANT PROTEINS;

EID: 84947045799     PISSN: 18606768     EISSN: 18607314     Source Type: Journal    
DOI: 10.1002/biot.201400790     Document Type: Article

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