Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is popular PDF and ePub book, written by Kumar Selvarajoo in 2022-10-13, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology can be Read Online from any device for your convenience.
Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology Book PDF Summary
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.
Detail Book of Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology PDF
- Author : Kumar Selvarajoo
- Release : 13 October 2022
- Publisher : Springer Nature
- ISBN : 9781071626177
- Genre : Science
- Total Page : 457 pages
- Language : English
- PDF File Size : 20,5 Mb
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