Każdy sprzedawca w empik.com jest przedsiębiorcą. Wszystkie obowiązki związane z umową sprzedaży ciążą na sprzedawcy.
Dodaj ten produkt do jednej z utworzonych przez Ciebie list i zachowaj go na później.
Sprawdź jak złożyć zamówienie krok po kroku.
Możesz też zadzwonić pod numer +48 22 462 72 50 nasi konsultanci pomogą Ci złożyć zamówienie.
This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to 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 practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.
ID produktu: | 1420531383 |
Tytuł: | Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology |
Autor: | Kumar Selvarajoo |
Wydawca: | Springer-Verlag New York Inc. |
Język wydania: | angielski |
Ilość stron: | 455 |
Numer wydania: | I |
Data premiery: | 2022-10-14 |
Rok wydania: | 2022 |
Okładka: | twarda |
Wymiary [mm]: | 186 x 34 x 265 |
ocen
Podziel się na Facebooku
Właśnie zrecenzowałem Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications.