NEWS
2010 - 11 - 17 Synergies of teams and genes for improving medical prognosis
New results derived from an international scientific collaboration led by the Laboratory of Cardiovascular Research (LCR) in the area of bioinformatics and computational biology have been recently accepted for publication *.
The project, a collaboration involving researchers from two universities in Spain and other CRP-Santé researchers, was driven by staff visits co-funded by Luxembourg and Spain. Spearheaded by Isabel Nepomuceno, a doctoral candidate affiliated with the Seville and Pablo Olavide Universities, and Francisco Azuaje at LCR, this collaboration resulted in a new computational technique to search for potential indicators of medical condition after suffering a heart attack. The method is based on the idea that complex molecular networks underlying a disease can be used to identify individuals at higher-risk, and possibly guide the discovery of new therapies.
This outcome, together with others reported over the past two years, expands Laboratory of Cardiovascular Research’s contributions to the development of advanced methods for supporting a more personalised prognosis and treatment of patients.
* Nepomuceno I, Azuaje F, Devaux Y, Nazarov P, Muller A, Aguilar-Ruiz J, Wagner D. Prognostic transcriptional association networks: A new supervised approach based on regression trees, Bioinformatics , in press.