Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 115,75
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 89,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 142,13
Cantidad disponible: 2 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 133,23
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2013. 2013th Edition. hardcover. . . . . .
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 147,69
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 150,08
Cantidad disponible: 2 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 151,22
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 488.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 140,21
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 157,13
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 142,12
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
EUR 107,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 160,95
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 486 Softcover reprint of the original 1st ed. 2013 edition NO-PA16APR2015-KAP.
EUR 154,21
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 156,80
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 176,50
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 169,07
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2013. 2013th Edition. hardcover. . . . . . Books ship from the US and Ireland.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 162,07
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. har/dol edition. 488 pages. 10.24x7.32x1.18 inches. In Stock.
EUR 131,56
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
EUR 113,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Systems Metabolic Engineering | Methods and Protocols | Hal S. Alper | Taschenbuch | xii | Englisch | 2017 | Humana | EAN 9781493962921 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Wiley-VCH Gmbh Mär 2026, 2026
ISBN 10: 3527354743 ISBN 13: 9783527354740
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 159,00
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -The book discusses how Machine Learning and Big Data is and can be used in biotechnology for a wide breath of topics. It is separated into three main parts, with the first covering DNA and ranging from synthetic biology part design (such as promoters) to predictions from genome sequences . The second part concerns proteins, with topics ranging from structure and design tools to pathway discovery / retrobiosynthesis , while the last part covers whole cells and ranges from Machine Learning approaches for gene expression to Machine Learning predictions of phenotype and bioreactor performance 432 pp. Englisch.
Idioma: Inglés
Publicado por Wiley-VCH Gmbh Mär 2026, 2026
ISBN 10: 3527354743 ISBN 13: 9783527354740
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 159,00
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -The book discusses how Machine Learning and Big Data is and can be used in biotechnology for a wide breath of topics. It is separated into three main parts, with the first covering DNA and ranging from synthetic biology part design (such as promoters) to predictions from genome sequences . The second part concerns proteins, with topics ranging from structure and design tools to pathway discovery / retrobiosynthesis , while the last part covers whole cells and ranges from Machine Learning approaches for gene expression to Machine Learning predictions of phenotype and bioreactor performance 432 pp. Englisch.
Idioma: Inglés
Publicado por Wiley-VCH Gmbh Mär 2026, 2026
ISBN 10: 3527354743 ISBN 13: 9783527354740
Librería: Wegmann1855, Zwiesel, Alemania
EUR 159,00
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -Enables researchers and engineers to gain insights into the capabilities of machine learning approaches to power applications in their fields.
EUR 82,22
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 488 | Sprache: Englisch | Produktart: Bücher | With the ultimate goal of systematically and robustly defining the specific perturbations necessary to alter a cellular phenotype, systems metabolic engineering has the potential to lead to a complete cell model capable of simulating cell and metabolic function as well as predicting phenotypic response to changes in media, gene knockouts/overexpressions, or the incorporation of heterologous pathways. In Systems Metabolic Engineering: Methods and Protocols, experts in the field describe the methodologies and approaches in the area of systems metabolic engineering and provide a step-by-step guide for their implementation. Four major tenants of this approach are addressed, including modeling and simulation, multiplexed genome engineering, ¿omics technologies, and large data-set incorporation and synthesis, all elucidated through the use of model host organisms. Written in the highly successful Methods in Molecular Biology¿ series format, chapters include introductions on their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Systems Metabolic Engineering: Methods and Protocols serves as an ideal guide for metabolic engineers, molecular biologists, and microbiologists aiming to implement the most recent approaches available in the field.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 191,72
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 432.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 186,94
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 486 pages. 9.25x6.10x1.15 inches. In Stock.
EUR 195,89
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
EUR 133,60
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Machine Learning and Big Data-enabled Biotechnology | Hal S. Alper | Buch | 432 S. | Englisch | 2026 | Wiley-VCH GmbH | EAN 9783527354740 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.
EUR 100,65
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 488 | Sprache: Englisch | Produktart: Bücher | With the ultimate goal of systematically and robustly defining the specific perturbations necessary to alter a cellular phenotype, systems metabolic engineering has the potential to lead to a complete cell model capable of simulating cell and metabolic function as well as predicting phenotypic response to changes in media, gene knockouts/overexpressions, or the incorporation of heterologous pathways. In Systems Metabolic Engineering: Methods and Protocols, experts in the field describe the methodologies and approaches in the area of systems metabolic engineering and provide a step-by-step guide for their implementation. Four major tenants of this approach are addressed, including modeling and simulation, multiplexed genome engineering, ¿omics technologies, and large data-set incorporation and synthesis, all elucidated through the use of model host organisms. Written in the highly successful Methods in Molecular Biology¿ series format, chapters include introductions on their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Systems Metabolic Engineering: Methods and Protocols serves as an ideal guide for metabolic engineers, molecular biologists, and microbiologists aiming to implement the most recent approaches available in the field.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 201,90
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 432 pages. 6.69x0.59x9.61 inches. In Stock.
EUR 109,51
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 432 | Sprache: Englisch | Produktart: Bücher | 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.