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ICON-BIO SIGNED

Integrated Connectedness for a New Representation of Biology

Total Cost €

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EC-Contrib. €

0

Partnership

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 ICON-BIO project word cloud

Explore the words cloud of the ICON-BIO project. It provides you a very rough idea of what is the project "ICON-BIO" about.

mathematical    diseases    limited    exposures    coupled    efficient    shift    examples    convex    omics    qualitatively    medical    repurpose    variants    hard    data    datasets    ways    discover    utilizing    subtype    framework    training    tri    fixed    scalable    performance    domains    bottlenecks    fusion    dealing    matrix    precision    seeking    models    modern    breakthrough    informatics    medicine    dimensional    genomics    rare    personalize    negative    patient    network    patients    clinical    biomedical    stratify    power    biomedicine    groups    big    though    exceptionally    optimization    unprecedented    quantitatively    creation    ambition    treatment    factorization    wealth    interconnected    molecular    drugs    qualitative    motivated    allowed    linear    paradigms    generalizing    individual    biomarkers    time    risk    diverse    analytics    paradigm    heterogeneous    software    nmtf    solving    point    special    domain    simultaneously    computational   

Project "ICON-BIO" data sheet

The following table provides information about the project.

Coordinator
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION 

Organization address
address: Calle Jordi Girona 31
city: BARCELONA
postcode: 8034
website: www.bsc.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) coordinator 1˙893˙460.00
2    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 106˙540.00

Map

 Project objective

The aim of the project is to develop a comprehensive framework for generalizing network analytics and fusion paradigms of non-negative matrix factorization to medical data. Heterogeneous, interconnected, systems-level omics data are becoming increasingly available and important in precision medicine. We are seeking to better stratify and subtype patients into risk groups, discover new biomarkers for complex and rare diseases, personalize medical treatment based on genomics and exposures of an individual, and repurpose known drugs to different patient groups. Existing methodologies for dealing with these big data are limited and a paradigm shift is needed to achieve quantitatively and qualitatively better results. The project is motivated by the recent success of non-negative matrix tri-factorization (NMTF) based methods for fusion of heterogeneous data in biomedicine. Though these methods have been known for some time, the availability of large datasets, coupled with modern computational power and efficient optimization methods, allowed for creation and efficient training of complex models that can make a qualitative breakthrough. For example, NMTF has recently achieved unprecedented performance on exceptionally hard problems of simultaneously utilizing the wealth of diverse molecular and clinical data in precision medicine. However, research thus far has been limited to special variants of this problem and used only fixed point methods to address these exciting examples of hard non-convex high-dimensional non-linear optimization problems.

The ambition of the project is to develop general data fusion methods, from mathematical models to efficient and scalable software implementation, and apply them to the domain of biomedical informatics. The project will lead to a paradigm shift in biomedical and computational understanding of data and diseases that will open up ways to solving some of the major bottlenecks in precision medicine and other domains.

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The information about "ICON-BIO" are provided by the European Opendata Portal: CORDIS opendata.

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