Deciphering the developmental roots of childhood sarcoma cells – combining single cell sequencing technologies and machine learning

Project description

Evolution of childhood sarcoma

Fields of science

• medical and health sciences › health sciences › public health
• natural sciences › biological sciences › cell biology
• medical and health sciences › clinical medicine › oncology
• natural sciences › biological sciences › genetics › RNA
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

GENOME RESEARCH LIMITED

Net EU contribution

€ 224 933,76

Address

The Gibbs Building, Euston Road 215
NW1 2BE London
United Kingdom

Region

London › Inner London — West › Camden and City of London

Activity type

Research Organisations

Links

Other funding

€ 0,00