- Title
- Ten quick tips for causal analysis of biomedical omics data
- Creators
- G Svinin - University of LuxembourgRTJ LooNV Kumar - University of LuxembourgVV Murthy - University of LuxembourgDU Odongo - University of LuxembourgR Díaz-Uriarte - Instituto de Investigaciones Biomédicas Sols-MorrealeA Conesa - Institute for Integrative Systems BiologyG Bontempi - Université Libre de BruxellesS Vinga - Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoI Granata - Institute for High Performance Computing and NetworkingD Domingo-Fernández - Fraunhofer Institute for Algorithms and Scientific ComputingPaola Lecca - Free University of Bozen-BolzanoML Kuijjer - University of OsloJH Krijthe - Delft University of TechnologyI Koch - Goethe University FrankfurtL Calzone - InsermSE Rombo - University of PalermoF Sánchez-Cabo - Spanish National Centre for Cardiovascular ResearchE Glaab - University of Luxembourg
- Publication Details
- PLoS computational biology, Vol.22(8), pp.1-11
- EISSN
- 1553-7358
- Series / Volume
- 22
- Number of pages
- 11
- Identifiers
- (UNIBZ)99590791
991007399552501241 - Web of Science ID
- WOS:001854485200003
- Scopus ID
- 2-s2.0-105047861502
- Copyright
- © 2026 Svinin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Academic Unit
- Faculty of Engineering
- Language
- English
- Resource Type
- Journal article
- Author Names String
- Svinin G, Loo RTJ, Kumar NV, Murthy VV, Odongo DU, Díaz-Uriarte R, Conesa A, Bontempi G, Vinga S, Granata I, Domingo-Fernández D, Lecca P, Kuijjer ML, Krijthe JH, Koch I, Calzone L, Rombo SE, Sánchez-Cabo F, Glaab E
Journal article
Ten quick tips for causal analysis of biomedical omics data
PLoS computational biology, Vol.22(8), pp.1-11
22
2026
Handle:
https://hdl.handle.net/10863/53677
Details
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