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AnacletoLab - Computational biology and Bioinformatics Lab  

AnacletoLab - Computational biology and Bioinformatics Lab

Description

Objectives: Design and implementation of research activities in Bioinformatics and Computational Biology, especially focusing on the development of machine learning methods tailored to relevant problems in molecular biology and personalized medicine.

Research lines:
1. Gene and protein function prediction through hierarchical ensembles  and semi-supervised network-based methods.
2. Network Medicine: gene disease prioritization; drug repositioning and prediction of drug-target interactions; hierarchical prediction of the associations between human genes and pathological phenotypes.
3. Non supervised search of patterns in biomolecular data.
4. Computational methods for the integration of complex biomolecular data.
5. Prediction of the phenotype, genotype and of the clinical outcome of patients and biomarker discovery.
6. Big data analysis in computational biology.
7. Bioinformatics software tool design and development.

Head

Giorgio Valentini

Contacts

Via Comelico 39 - 20135 Milano

Room T317

 

Phone

+39 2 503 16225

 

E-mail

valentini@di.unimi.it

 

Website

http://anacletolab.di.unimi.it/

People

Staff

Nicolò Cesa-Bianchi

Marco Mesiti

Matteo Rè

Giorgio Valentini

 

Collaborators

Marco Frasca, fellow

Rajab Ali Keshavarz Emami, PhD. Student

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