Lifo - Laboratoire d'Informatique Fondamentale d'orléans INSA Centre Val de Loire Université d'Orléans Université d'Orléans

Lifo > Research Actions at LIFO > Research Action : Machine Learning and Bioinformatics

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Machine Learning and Bioinformatics :

Machine learning/Data mining plays an important role in bioinformatics and biomedical science more generally. For example, a common approach to uncovering gene-regulatory networks focuses on integrating transcriptomics and genomics information. One strategy to accomplish this involves, first, clustering high-throughput gene expression data sets, and then isolating the upstream regions of the clustered genes and analyzing them for common cis-regulatory motifs.
Indeed, machine learning techniques, such as clustering techniques and supervised learning algorithms (e.g., support vector machines), can be used in systems biology, where data mining is both used in identifying single components, as well as connecting different components through
data integration.

This project,  coordinated by Prof. Teresa Ludermir (CIn/UFPE, Brazil), gathers  together researchers from several institutions in Brazil (UFPE/Recife, UFRPE/Recife, COPPE/UFRJ/Brazil, USP/São Carlos) and France (LIFO/Université d'Orléans) will investigate and contribute to advancing in the state-of-the art of Machine Learning techniques applied to problems in Bioinformatics. In the context of the LIFO/Université d'Orléans, more information can be obtained at the given URL.

Participating Members


Action's Web Page