Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification
by Bor-Sen Chen (Author), Cheng-Wei Li (Author)
by Bor-Sen Chen (Author), Cheng-Wei Li (Author)
Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification is a comprehensive resource that explores the world of systems biology through the lens of big data mining and network modeling. Written by Bor-Sen Chen and Cheng-Wei Li, this book delves into the complex mechanisms that govern biological systems, providing a unique perspective on how to analyze and interpret large volumes of biological data.
In recent years, systems biology has witnessed remarkable advancements, largely driven by the integration of powerful technologies. However, this integration has also presented challenges, such as the overwhelming amount of available literature, the intricate nature of biological mechanisms, the limited prior knowledge, and the lack of comprehensive educational resources. Big Mechanisms in Systems Biology is designed to bridge these gaps and provide readers with a hands-on understanding of how to process and apply biological data to advance research in the field.
One of the key features of this book is its focus on big mechanisms in systems biology. The term “big mechanisms” refers to the complex interactions and interdependencies of biological systems, which can only be understood through the advanced techniques of big data mining and network modeling. By leveraging the power of these methods, researchers can uncover hidden patterns, predict outcomes, and gain invaluable insights into the underlying biology.
Throughout the book, Chen and Li explore various topics in systems biology, including system immunity, regulation, infection, aging, evolution, and carcinogenesis. These topics have long been the subject of research, but they continue to present challenges due to inconsistencies and context-dependent mechanisms. Big Mechanisms in Systems Biology tackles these challenges head-on, offering readers a clear and concise roadmap to navigate the complexities of these biological systems
One of the highlights of this book is the emphasis on applied examples and practical applications. Each chapter is packed with real-world examples and case studies which demonstrate how to apply big data mining and network modeling techniques to solve complex biological problems. By providing these practical examples, Chen and Li ensure that readers not only gain a theoretical understanding of the subject matter, but also acquire the necessary skills to apply these techniques in their own research.
In addition to the numerous examples, the authors have included over 140 diagrams, illustrating the big mechanisms in systems biology. These diagrams serve as visual aids, helping readers to better grasp the complex concepts and relationships within biological systems.
Furthermore, the book is written in a didactic manner, making it accessible and engaging for readers with varying levels of expertise in the field. Chen and Li have taken great care to break down complex concepts into manageable sections, using clear and concise language. This approach ensures that readers can follow along and understand the material, regardless of their background or prior knowledge.
Product Details
- eBook Digital: 878 pages
- Publisher: Academic Press; 1 edition (November 25, 2016)
- Language: English
- ISBN-10: 0128094796
- ISBN-13: 978-0128094792
Why You Should Order This Book:
Whether you are a bioinformatician, a biomedical researcher, or simply someone with a keen interest in systems biology, Big Mechanisms in Systems Biology is a must-have resource. By delving into the world of big data mining and network modeling, this book equips readers with the necessary tools and skills to tackle the complex world of biological systems.
Moreover, this book offers a comprehensive and up-to-date overview of the field, covering topics that are not widely addressed in existing resources. From system immunity to carcinogenesis, the authors provide a detailed examination of the various mechanisms that govern biological systems, shedding light on previously unexplored areas.
By ordering this book, you will gain access to a wealth of knowledge and insights, presented in a clear and concise manner. The authors’ expertise and years of experience in the field ensure that readers are provided with the most relevant and practical information, allowing them to make significant contributions to the advancement of systems biology.
Don’t miss out on this invaluable resource. Order your copy of Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification today and take your understanding of systems biology to new heights.
Product Details
- Written in a didactic manner in order to explain how to investigate Big Mechanisms by big data mining and system identification
- Provides more than 140 diagrams to illustrate Big Mechanism in systems biology
- Presents worked examples in each chapter
- : 878 pages
- Publisher: Academic Press; 1 edition (November 25, 2016)
- Language: English
- ISBN-10: 0128094796
- ISBN-13: 978-0128094792