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

Información del proyecto

TranSYS

Identificador del acuerdo de subvención: 860895

DOI 10.3030/860895

Proyecto cerrado

Fecha de la firma de la CE 19 Agosto 2019

Fecha de inicio 1 Septiembre 2019

Fecha de finalización 30 Junio 2024

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total € 3 916 285,67

Aportación de la UE € 3 916 285,67

Coordinado por

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

Resultado final

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)

Publicaciones

Peer reviewed articles (7)

Economic evaluation in psychiatric pharmacogenomics: a systematic review

Autores: Kariofyllis Karamperis, Maria Koromina, Panagiotis Papantoniou, Maria Skokou, Filippos Kanellakis, Konstantinos Mitropoulos, Athanassios Vozikis, Daniel J. Müller, George P. Patrinos, Christina Mitropoulou
Publicado en: The Pharmacogenomics Journal, Edición 21/4, 2021, Página(s) 533-541, ISSN 1470-269X
Editor: 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

Autores: Andrew Walakira, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon
Publicado en: Computational and Structural Biotechnology Journal, Edición 19, 2021, Página(s) 3521-3530, ISSN 2001-0370
Editor: 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

Autores: Maria Koromina, Stefania Koutsilieri, George P. Patrinos
Publicado en: Human Genomics, Edición 14/1, 2020, ISSN 1479-7364
Editor: Springer Nature
DOI: 10.1186/s40246-019-0254-y

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma

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

The AIMe registry for artificial intelligence in biomedical research.

Autores: 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
Publicado en: VOLUME=18;ISSUE=10;STARTPAGE=1128;ENDPAGE=1131;ISSN=1548-7091;TITLE=Nature Methods, Edición 2, 2021, ISSN 1548-7091
Editor: Nature Publishing Group
DOI: 10.1038/s41592-021-01241-0

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

Autores: Andrew Walakira; Junior Ocira; Diane Duroux; Ramouna Fouladi; Miha Moškon; Damjana Rozman; Kristel Van Steen
Publicado en: BMC Bioinformatics 23, Edición 1, 2022, Página(s) Article number: 57 (2022), ISSN 1471-2105
Editor: BioMed Central
DOI: 10.1186/s12859-022-04580-7

An overview of machine learning methods for monotherapy drug response prediction

Autores: Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Publicado en: Briefings in Bioinformatics, 2021, ISSN 1467-5463
Editor: Oxford University Press
DOI: 10.1093/bib/bbab408