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Big Mechanisms in Systems Biology 1st Edition Big Data Mining, Network Modeling, and Genome-Wide Data Identification di Chen

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Autore: Chen
Editore: Elsevier UK
Data di Pubblicazione: 2016
ISBN: 9780128094792
Pagine: 878


Description

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. 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 resource.

This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. 

Key Features

  • 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

Readership

Bioinformaticians; graduate students in systems biology; members of biomedical field interested in data mining and systems identification technologies