CORDIS Project
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This project develops advanced statistical and machine learning methods to analyze complex biological data, particularly in genomics. By leveraging data structures and incorporating biological knowledge, it aims to improve predictive modeling for cancer prognosis and drug response.
This interdisciplinary project aims to develop new statistical and machine learning approaches to analyze high-dimensional, structured and heterogeneous biological data.
We focus on the cases where a relatively small number of samples are characterized by huge quantities of quantitative features, a common situation in large-scale genomic projects, but particularly challenging for statistical inference.
In order to overcome the curse of dimension we propose to exploit the particular structures of…
ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS
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