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

Informazioni relative al progetto

TranSYS

ID dell’accordo di sovvenzione: 860895

DOI 10.3030/860895

Progetto chiuso

Data della firma CE 19 Agosto 2019

Data di avvio 1 Settembre 2019

Data di completamento 30 Giugno 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 3 916 285,67

Contributo UE € 3 916 285,67

Coordinato da

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

Risultati finali

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)

Pubblicazioni

Peer reviewed articles (7)

Economic evaluation in psychiatric pharmacogenomics: a systematic review

Autori: Kariofyllis Karamperis, Maria Koromina, Panagiotis Papantoniou, Maria Skokou, Filippos Kanellakis, Konstantinos Mitropoulos, Athanassios Vozikis, Daniel J. Müller, George P. Patrinos, Christina Mitropoulou
Pubblicato in: The Pharmacogenomics Journal, Numero 21/4, 2021, Pagina/e 533-541, ISSN 1470-269X
Editore: 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

Autori: Andrew Walakira, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 19, 2021, Pagina/e 3521-3530, ISSN 2001-0370
Editore: 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

Autori: Maria Koromina, Stefania Koutsilieri, George P. Patrinos
Pubblicato in: Human Genomics, Numero 14/1, 2020, ISSN 1479-7364
Editore: Springer Nature
DOI: 10.1186/s40246-019-0254-y

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma

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

The AIMe registry for artificial intelligence in biomedical research.

Autori: 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
Pubblicato in: VOLUME=18;ISSUE=10;STARTPAGE=1128;ENDPAGE=1131;ISSN=1548-7091;TITLE=Nature Methods, Numero 2, 2021, ISSN 1548-7091
Editore: Nature Publishing Group
DOI: 10.1038/s41592-021-01241-0

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

Autori: Andrew Walakira; Junior Ocira; Diane Duroux; Ramouna Fouladi; Miha Moškon; Damjana Rozman; Kristel Van Steen
Pubblicato in: BMC Bioinformatics 23, Numero 1, 2022, Pagina/e Article number: 57 (2022), ISSN 1471-2105
Editore: BioMed Central
DOI: 10.1186/s12859-022-04580-7

An overview of machine learning methods for monotherapy drug response prediction

Autori: Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Pubblicato in: Briefings in Bioinformatics, 2021, ISSN 1467-5463
Editore: Oxford University Press
DOI: 10.1093/bib/bbab408