Learning and Inference in Computational Systems Biology (LICSB), Warwick 2010

Learning and Inference in Computational Systems Biology (LICSB), Warwick 2010

13 Videos · Mar 30, 2010

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

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46:42

Reconstructing networks from experimental and natural genetic perturbations

Florian Markowetz

May 3, 2010

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4177 views

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50:15

Networking genes and drugs: Understanding gene function and drug mode of action ...

Diego di Bernardo

May 3, 2010

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4761 views

Private
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56:09

Learning biological networks: From modules to dynamics

Richard Bonneau

Apr 14, 2010

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1691 views

Lectures

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21:13

Using sequential Monte Carlo approaches as a design tool in synthetic biology

Chris Barnes

May 3, 2010

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4309 views

Private
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26:26

Uncovering the design principles of polyamine regulation: an integrated modellin...

Svetlana Amirova

Apr 14, 2010

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1977 views

Private
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21:39

How to infer gene networks from expression profiles, revisited

Christopher Penfold

Apr 14, 2010

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1687 views

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12:28

Deterministic and stochastic models of bicoid protein gradient formation in Dros...

Wei Liu

May 3, 2010

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3683 views

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22:40

Statistical analysis of protein patternation on cell membranes during immunologi...

Vladimir Miloserdov

May 6, 2010

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2626 views

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11:15

Estimating the contribution of non-genetic factors to gene expression using Gaus...

Nicolò Fusi

May 3, 2010

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3056 views

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15:13

Identifying interactions in the time and frequency domains in local and global n...

Cunlu Zou

May 3, 2010

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3454 views

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24:33

Decoding underlying behaviour from destructive time series experiments through G...

Antti Honkela

May 3, 2010

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2925 views

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26:54

Machine learning methods for effective proteomics image analysis

Elias S. Manolakos

May 3, 2010

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3894 views

Private
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19:20

Conditional relevance networks and assessment of statistical significance

Georgia Chan

Apr 14, 2010

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1707 views