We describe large-scale systems biology through systems analysis and big data mining methods using biological models. Systems biology is currently experiencing radical changes in response to the integration of powerful technologies. Considering the abundance of information, complex procedures, little prior knowledge, several courses on the subject, and the use of conventions and techniques, this book is an ideal resource.
This book covers immunity, regulation, infection, aging, mutation and carcinogenesis, biological diseases that contain findings unmatched in existing sources. This difference may be related to the time difference between biological systems and the context of events, which poses big problems for good modeling because it is not clear whether genes/proteins can be included in samples or experiments.
This book is useful to bioinformaticians and members of various biomedical science disciplines who desire a deeper understanding of how to process and use large amounts of biological data to improve scientific research. It is written in a didactic manner to explain how to analyze the main mechanisms through big data mining and systems identification.
Provides over 140 diagrams illustrating key mechanical biology processes.
Each chapter tells real life.

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