HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes

Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna

Tietotekniikan laitos
Probabilistic Machine Learning
Professorship Kaski Samuel
Professorship Marttinen P.
Computer Science Professors
Computer Science - Artificial Intelligence and Machine Learning (AIML)
Finnish Center for Artificial Intelligence, FCAI
Helsinki Institute for Information Technology (HIIT)

University of Helsinki
University of Potsdam
Xavier Lab in the Broad Institute
Univ Manchester, Jodrell Bank Centre for Astrophysics, University of Manchester, Sch Phys & Astron, Jodrell Bank Ctr Astrophys
University of Oxford
Icahn School of Medicine at Mount Sinai

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

7 Sitaatiot (Scopus)

34 Lataukset (Pure)

1 tulosta

Aktiivinen
INTERVENE: International consortium for integrative genomics prediction
Kaski, S. (Vastuullinen tutkija)
01/01/2021 → 31/12/2025
Projekti: EU: Framework programmes funding

HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes

Projektit

Hakutulokset

INTERVENE: International consortium for integrative genomics prediction