About
In making advances within Computational Systems Biology there is an acknowledged need for the ongoing development of both probabilistic and mechanistic, possibly multi-scale, models of complex biological processes. In addition to such models the development of appropriate and efficient inferential methodology to identify and reason over such models is necessary.
Examples of the progress which has been made in our understanding of modern biology by the exploitation of such methodology include model based inference of p53 activity; uncovering the evolution of protein complexes and understanding the circadian clock in plants; details of which were presented at the LICSB workshops.
The previous workshop themes of parameter estimation, probabilistic modelling of networks and inference in large biological system models will be further explored in this meeting.
Find out more at LICSB Workshop
Videos
Keynote talks

Reconstructing networks from experimental and natural genetic perturbations
May 3, 2010
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4177 views

Networking genes and drugs: Understanding gene function and drug mode of action ...
May 3, 2010
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4761 views

Learning biological networks: From modules to dynamics
Apr 14, 2010
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1691 views
Lectures

Using sequential Monte Carlo approaches as a design tool in synthetic biology
May 3, 2010
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4309 views

Uncovering the design principles of polyamine regulation: an integrated modellin...
Apr 14, 2010
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1977 views

How to infer gene networks from expression profiles, revisited
Apr 14, 2010
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1687 views

Deterministic and stochastic models of bicoid protein gradient formation in Dros...
May 3, 2010
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3683 views

Statistical analysis of protein patternation on cell membranes during immunologi...
May 6, 2010
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2626 views

Estimating the contribution of non-genetic factors to gene expression using Gaus...
May 3, 2010
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3056 views

Identifying interactions in the time and frequency domains in local and global n...
May 3, 2010
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3454 views

Decoding underlying behaviour from destructive time series experiments through G...
May 3, 2010
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2925 views

Machine learning methods for effective proteomics image analysis
May 3, 2010
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3894 views

Conditional relevance networks and assessment of statistical significance
Apr 14, 2010
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1707 views