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Transactions on Computational Systems Biology XI - Computational Models for Cell Processes (Paperback, 2009 ed.)
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Transactions on Computational Systems Biology XI - Computational Models for Cell Processes (Paperback, 2009 ed.)
Series: Lecture Notes in Computer Science, 5750
Expected to ship within 10 - 15 working days
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Biology is witnessing a transformation towards a more quantitative
science, based on the major technological breakthroughs of the past
decade. In this transformation, biology is incorporating
mathematical modeling techniques and computational approaches
towards numerical simulations, model analysis, and
quantitativepredictions.An importantgoalis to
formalizeandanalyzethe ev- changing inter-connections between
components (often on di?erent time and space scales), their
in?uence on one another, regulatory patterns, alternative pathways,
etc. Formal reasoning rather than empirical observations is the
main driving force in this new type of biological research.At the
same time, computer science and applied mathematics are faced with
considerable methodological challenges in handling an unprecedented
level of concurrency, stochastic e?ects,
amixoflargeandsmallpopulations,combinatorialexplosionsinthe
statespace, model re?nement, and model (de)composition, etc.
ThisspecialissueofTransactionsonComputationalSystemsBiologyonC-
putationalModels forCellProcessesisbasedonaworkshopwith thesamename
that took place in Turku, Finland, on May 27, 2008. The workshop
was or- nized as a satellite event of the 15th International
Symposium on Formal Me- ods that took place in Turku in the period
May 28-31, 2008. This special issue however had an open call for
paper submissions, with a separate peer-review process. The
accepted papers span an interesting mix of approaches to systems
biology, ranging from quantitative to qualitative techniques, from
continuous to discrete mathematics, from deterministic to
stochastic methods, from compu- tional models for biology to
computing paradigms inspired by biology. Overall, they give a good
glimpse into some of the exciting current research avenues in
computational systems biology.
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