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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.

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

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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