Learning in Computational Systems Biology
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.
Contributions of recent work addressing these themes as well as preliminary
application results are welcomed.
LICSBC 2009 will precede MASAMB 2009 and will be held at Imperial
College London. It will feature four keynote presentations and 10
presentations selected from submitted abstracts.
Please use the LICSB submission page to submit a one-page abstracts
Registration is free but places are limited.
Invited Keynote Speakers
- Dr Lachlan Coin, Imperial College (http://www1.imperial.ac.uk/medicine/people/l.coin/)
- Dr. Andrew Golightly, Newcastle University
- Dr Sophie Lebre, University of Strasbourg
- Professor Carsten Wiuf, University of Aarhus
- Abstract Submission Deadline: __Sunday, March 1st
- Author Notification: ____________Wednesday, March 3rd
- Registratrion Opens: ___________Monday, February 16th
- Registration Closes (subject to availability) _________Wednesday, March 11th
- Workshop Dates: Wednesday, ___April 1st (Wednesday) - April 2nd (Thursday)
The workshop is sponsored by EU PASCAL network of excellence and
is one of six workshops in the Thematic Programme in Leveraging
Complex Prior Knowledge for Learning.