Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification, 1, 2017 is a comprehensive biology reference published by Elsevier. Description by Bor-Sen Chen (Author), Cheng-Wei Li (Author) Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems.

Key Features

- by Bor-Sen Chen (Author), Cheng-Wei Li (Author)
- Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and…
- Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies
- Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal…
- This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing…
- These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem…
- The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and…

Product Details

Publisher: Elsevier
Edition: 1
Published Year: 2017
Format: Publisher PDF
File Size: 100 MB
ISBN: 9780128094792