Translational SYStemics: Personalised Medicine at the Interface of Translational Research and Systems Medicine

Informacje na temat projektu

TranSYS

Identyfikator umowy o grant: 860895

DOI 10.3030/860895

Projekt został zamknięty

Data podpisania przez KE 19 Sierpnia 2019

Data rozpoczęcia 1 Września 2019

Data zakończenia 30 Czerwca 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity € 3 916 285,67

Wkład UE € 3 916 285,67

Koordynowany przez

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

Rezultaty

Other (2)

TranSYS School 1

Lead overlooking Body Training Council Natasa Przulj Details Annex 1 Part B Table 22b

Doctoral Schools

ESRs enrolled in doctoral school programmes regulated by M12

Websites, patent fillings, videos etc. (2)

TranSYS intranet and extranet / SharePoint in place

Website for data sharing internal CO external PU Sharepoint for easy filling of reports and sharing documents within WGs within TranSYS Boards within TranSYS at large

TranSYS recruitment pages online with ESR vacancies posted (recruitment process+gender plan)

Publikacje

Peer reviewed articles (7)

Economic evaluation in psychiatric pharmacogenomics: a systematic review

Autorzy: Kariofyllis Karamperis, Maria Koromina, Panagiotis Papantoniou, Maria Skokou, Filippos Kanellakis, Konstantinos Mitropoulos, Athanassios Vozikis, Daniel J. Müller, George P. Patrinos, Christina Mitropoulou
Opublikowane w: The Pharmacogenomics Journal, Numer 21/4, 2021, Strona(/y) 533-541, ISSN 1470-269X
Wydawca: Nature Publishing Group
DOI: 10.1038/s41397-021-00249-1

Guided extraction of genome-scale metabolic models for the integration and analysis of omics data

Autorzy: Andrew Walakira, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon
Opublikowane w: Computational and Structural Biotechnology Journal, Numer 19, 2021, Strona(/y) 3521-3530, ISSN 2001-0370
Wydawca: Elsevier
DOI: 10.1016/j.csbj.2021.06.009

Delineating significant genome-wide associations of variants with antipsychotic and antidepressant treatment response: implications for clinical pharmacogenomics

Autorzy: Maria Koromina, Stefania Koutsilieri, George P. Patrinos
Opublikowane w: Human Genomics, Numer 14/1, 2020, ISSN 1479-7364
Wydawca: Springer Nature
DOI: 10.1186/s40246-019-0254-y

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma

Autorzy: Andrew Walakira, Cene Skubic, Nejc Nadižar, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon,
Opublikowane w: Computers in Biology and Medicine, 2023, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2023.106957

The AIMe registry for artificial intelligence in biomedical research.

Autorzy: Julian Matschinske; Julian Matschinske; Nicolas Alcaraz; Arriel Benis; Martin Golebiewski; Dominik G. Grimm; Dominik G. Grimm; Lukas Heumos; Tim Kacprowski; Tim Kacprowski; Tim Kacprowski; Olga Lazareva; Markus List; Zakaria Louadi; Zakaria Louadi; Josch Konstantin Pauling; Nico Pfeifer; Richard Röttger; Veit Schwämmle; Gregor Sturm; Alberto Traverso; Kristel Van Steen; Kristel Van Steen; Martie
Opublikowane w: VOLUME=18;ISSUE=10;STARTPAGE=1128;ENDPAGE=1131;ISSN=1548-7091;TITLE=Nature Methods, Numer 2, 2021, ISSN 1548-7091
Wydawca: Nature Publishing Group
DOI: 10.1038/s41592-021-01241-0

Detecting gene–gene interactions from GWAS using diffusion kernel principal components

Autorzy: Andrew Walakira; Junior Ocira; Diane Duroux; Ramouna Fouladi; Miha Moškon; Damjana Rozman; Kristel Van Steen
Opublikowane w: BMC Bioinformatics 23, Numer 1, 2022, Strona(/y) Article number: 57 (2022), ISSN 1471-2105
Wydawca: BioMed Central
DOI: 10.1186/s12859-022-04580-7

An overview of machine learning methods for monotherapy drug response prediction

Autorzy: Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Opublikowane w: Briefings in Bioinformatics, 2021, ISSN 1467-5463
Wydawca: Oxford University Press
DOI: 10.1093/bib/bbab408