Machine Learning and Big Data-Enabled Biotechnology - Couverture rigide

 
9783527354740: Machine Learning and Big Data-Enabled Biotechnology
Couverture rigide
ISBN 10 : 3527354743 ISBN 13 : 9783527354740
Editeur : Blackwell Verlag GmbH, 2026

Synopsis

Enables researchers and engineers to gain insights into the capabilities of machine learning approaches to power applications in their fields

Machine Learning and Big Data-enabled Biotechnology discusses how machine learning and big data can be used in biotechnology for a wide breadth of topics, providing tools essential to support efforts in process control, reactor performance evaluation, and research target identification.

Topics explored in Machine Learning and Big Data-enabled Biotechnology include:

  • Deep learning approaches for synthetic biology part design and automated approaches for GSM development from DNA sequences
  • De novo protein structure and design tools, pathway discovery and retrobiosynthesis, enzyme functional classifications, and proteomics machine learning approaches
  • Metabolomics big data approaches, metabolic production, strain engineering, flux design, and use of generative AI and natural language processing for cell models
  • Automated function and learning in biofoundries and strain designs
  • Machine learning predictions of phenotype and bioreactor performance

Machine Learning and Big Data-enabled Biotechnology earns a well-deserved spot on the bookshelves of reaction, process, catalytic, and environmental engineers seeking to explore the vast opportunities presented by rapidly developing technologies.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Dr. Hal Alper is the Kenneth A. Kobe Professor in Chemical Engineering and Executive Director of the Center for Biomedical Research Support at The University of Texas at Austin. He serves on the Graduate Studies Committee for the Cell and Molecular Biology Department and in the Biochemistry Department. His research focuses on applying and extending the approaches of synthetic biology, systems biology, and protein engineering.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Blackwell Verlag GmbH
Date d'édition
2026
Langue
anglais
ISBN 10 
3527354743
ISBN 13 
9783527354740
Reliure
Relié
Nombre de pages
432
Éditeur
Alper Hal S.
Coordonnées du fabricant
JOSSEY-BASS
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