{"product_id":"machine-learning-and-big-data-enabled-biotechnology","title":"Machine Learning and Big Data-enabled Biotechnology","description":"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.","brand":"Wiley-VCH GmbH","offers":[{"title":"Default Title","offer_id":57595705721158,"sku":"9783527354740","price":135.4,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/3081\/3510\/files\/62cf37b6db50c64a5166ab0406e6b5be6d3a8fcb981a462bf5a64c8772dc581a.jpg?v=1791980821","url":"https:\/\/www.averdo.com\/products\/machine-learning-and-big-data-enabled-biotechnology","provider":"Averdo","version":"1.0","type":"link"}