Network inference - Robust algorithms for regulatory network inference based on expression measurements and biological a prioir information
From 01-01-2003 to 31-12-2006
Description
In this project we like to reconstruct the regulatory network, active in the studied biological system, based on the gene expression measurements. De most important step in network inference is to learn as much as possible dependencies between gene and gene products from the raw expression data. As method of choice we opt for Bayesian networks which allow us to model joint probability distributions over a large collection of variables. Practically the goal of the project is to combine implementations of the most advanced algorithms in a platform that is usable inference program. This program is coupled with in-house developed machine learning tools to model the prior knowledge. The focus is on (a) the development of necessary extensions of Bayesian networks and (b) the thorough evaluation of the robustness of the inferences process. Given the high cost of the molecular experiments based on our results, the methodology should be very robust and reliable. Therefore we first like to develop a testgenerator from the data available in public databases on regulatory networks. Second we implement alternative techniques for parts of the process and compare the different results.Team
- Kathleen Marchal, Coordinator
- Bart De Moor, Promoter
- Thomas Dhollander, Team member
- Olivier Gevaert, Team member
- Karen Lemmens, Team member
- Tim Van den Bulcke, Team member (External)
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Research Grant - FWO Research Grant
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.