Kernel methods for the prioritization of candidate genes
Yves Moreau,
Katholicke Universiteit Leuven –
Abstract:
Hunting disease genes is a problem of primary importance in biomedical research. Biologists usually approach this problem in two steps: first a set of candidate genes is identified using traditional positional cloning or high-throughput genomics techniques; second, these genes are further investigated and validated in the wet lab, one by one. To speed up discovery and limit the number of costly wet lab experiments, biologists must test the candidate genes starting with the most probable candidates. So far, biologists have relied on literature studies, extensive queries to multiple databases and hunches about expected properties of the disease gene to determine such an ordering. Recently, the data mining tool ENDEAVOUR has been introduced, which performs this task automatically by relying on different genome-wide data sources, such as Gene Ontology, literature, microarray, sequence and more. A novel kernel method that operates in the same setting is presented: based on a number of different views on a set of training genes, a prioritization of test genes is obtained. A thorough theoretical analysis of the guaranteed performance of the method will also be presented. Finally, the application of the method to the disease data sets on which ENDEAVOUR has been benchmarked, will be reported, showing that a considerable improvement in empirical performance has been obtained.
Date: 2008-Dec-19 Time: 11:00:00 Room: 336
For more information:
Upcoming Events
INESC Brussels HUB Winter Meeting 2023

This edition of the HUB Winter Meeting will be co-organised with Science Business and will take place on the 30 and 31 January, in Lisbon, at Instituto Superior Técnico, Department of Computer Science and Engineering.
Please see below a summary of the agenda, this will be updated on the INESC Brussels HUB website regularly (confirmed speakers and other relevant info). Places for onsite participation are limited so registration is mandatory. Online participants will be sent a ZOOM link for each specific session on the 27th January.
INESC Brussels HUB website: https://hub.inesc.pt/
Monday, 30 January
a) Digital Europe Programme & Chips Act: state of play and possibilities for INESC.
9h to 10h30 GMT
(Exclusive for INESC researchers and administrators).
b) Science Business: how can INESC tap into Science Business network, activities and communications tools.
(Exclusive for INESC researchers and administrators).
c) Networking Lunch (for all onsite participants).
d) Roundtable: From rhetoric to reality – Embedding international strategy in the DNA of research organisations.
(Closed-door, roundtable workshop, Chatham House rules, open to INESC researchers and administrators, external participants by invitation only).
e) Networking Dinner
(By invitation only – INESC researchers participating onsite in the event are elegible to join).
Tuesday, 31 January
f) Workshop: How they did it? Strategic positioning for structural success in Horizon Europe: a discussion of best practices.
(Exclusive for INESC researchers, administrators and international invited speakers).
g) The public consultation on European R&I Programmes: Towards FP10.
(Closed-door, roundtable workshop, Chatham House rules, open to INESC researchers and administrators, external participants by invitation only).
h) Networking Lunch (for all onsite participants).
i) Management Committee meeting (Directors and POB members)
The HUB Winter Meeting aims at bringing together researchers and administrators from the 5 INESC institutes, affiliated higher education institutions in Portugal and abroad, with key European and global players, to:
– Discuss key research and innovation issues at EU level.
– Inform institutional policy and strategy.
– Exchange best-practices about R&I management, career development and policy positioning.
– Promote, discuss and deliver vision, visibility, networking and impactful communication.
– Create, identify and deepen partnerships and collaboration opportunities for collaborative R&I.