Modeling is fast becoming fundamental to understanding the
processes that define biological systems. High-throughput
technologies are producing increasing quantities of data that
require an ever-expanding toolset for their effective analysis and
interpretation. Analysis of high-throughput data in the context of
a molecular interaction network is particularly informative as it
has the potential to reveal the most relevant network modules with
respect to a phenotype or biological process of interest.Analysis
of Biological Systems collects classical material on analysis,
modeling and simulation, thereby acting as a unique point of
reference. The joint application of statistical techniques to
extract knowledge from big data and map it into mechanistic models
is a current challenge of the field, and the reader will learn how
to build and use models even if they have no computing or math
background. An in-depth analysis of the currently available
technologies, and a comparison between them, is also included.
Unlike other reference books, this in-depth analysis is extended
even to the field of language-based modeling. The overall result is
an indispensable, self-contained and systematic approach to a
rapidly expanding field of science.
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