| Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome T Zemojtel, S Köhler, L Mackenroth, M Jäger, J Hecht, P Krawitz, ... Science translational medicine 6 (252), 252ra123-252ra123, 2014 | 290 | 2014 |
| Associations of disease-modifying therapies with COVID-19 severity in multiple sclerosis S Simpson-Yap, E De Brouwer, T Kalincik, N Rijke, JA Hillert, C Walton, ... Neurology 97 (19), e1870-e1885, 2021 | 244 | 2021 |
| eXtasy: variant prioritization by genomic data fusion A Sifrim, D Popovic, LC Tranchevent, A Ardeshirdavani, R Sakai, ... Nature methods 10 (11), 1083-1084, 2013 | 189 | 2013 |
| Candidate gene prioritization with Endeavour LC Tranchevent, A Ardeshirdavani, S ElShal, D Alcaide, J Aerts, ... Nucleic acids research 44 (W1), W117-W121, 2016 | 125 | 2016 |
| Recommendations for whole genome sequencing in diagnostics for rare diseases E Souche, S Beltran, E Brosens, JW Belmont, M Fossum, O Riess, ... European journal of human genetics 30 (9), 1017-1021, 2022 | 96 | 2022 |
| Towards practical privacy-preserving genome-wide association study C Bonte, E Makri, A Ardeshirdavani, J Simm, Y Moreau, F Vercauteren BMC bioinformatics 19, 1-12, 2018 | 53 | 2018 |
| pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion AA Kumar, L Van Laer, M Alaerts, A Ardeshirdavani, Y Moreau, ... Bioinformatics 34 (13), 2254-2262, 2018 | 31 | 2018 |
| Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing H Masset, J Ding, E Dimitriadou, A Ardeshirdavani, S Debrock, O Tšuiko, ... Nucleic acids research 50 (11), e63-e63, 2022 | 30 | 2022 |
| Beegle: from literature mining to disease-gene discovery S ElShal, LC Tranchevent, A Sifrim, A Ardeshirdavani, J Davis, Y Moreau Nucleic acids research 44 (2), e18-e18, 2016 | 29 | 2016 |
| NGS-Logistics: federated analysis of NGS sequence variants across multiple locations A Ardeshirdavani, E Souche, L Dehaspe, J Van Houdt, JR Vermeesch, ... Genome medicine 6, 1-11, 2014 | 28 | 2014 |
| Multiple Sclerosis Data Alliance–A global multi-stakeholder collaboration to scale-up real world data research LM Peeters, T Parciak, D Kalra, Y Moreau, E Kasilingam, P Van Galen, ... Multiple Sclerosis and Related Disorders 47, 102634, 2021 | 22 | 2021 |
| First results of the COVID-19 in MS Global Data Sharing Initiative suggest anti-CD20 DMTs are associated with worse COVID-19 outcomes S Simpson-Yap, E de Brouwer, T Kalincik, N Rijke, J Hillert, C Walton, ... Multiple Sclerosis Journal 26 (3_SUPPL), 48-49, 2020 | 20 | 2020 |
| Privacy-Preserving Genome-Wide Association Study is Practical. C Bonte, E Makri, A Ardeshirdavani, J Simm, Y Moreau, F Vercauteren IACR Cryptol. ePrint Arch. 2017, 955, 2017 | 12 | 2017 |
| Galahad: a web server for drug effect analysis from gene expression G Laenen, A Ardeshirdavani, Y Moreau, L Thorrez Nucleic Acids Research 43 (W1), W208-W212, 2015 | 11 | 2015 |
| Systematic evaluation of NIPT aneuploidy detection software tools with clinically validated NIPT samples P Paluoja, H Teder, A Ardeshirdavani, B Bayindir, J Vermeesch, ... PLoS Computational Biology 17 (12), e1009684, 2021 | 10 | 2021 |
| va n der Walt S Simpson-Yap, E De Brouwer, T Kalincik, N Rijke, JA Hillert, C Walton, ... A., Butzkueven, H., Alroughani, R., Ozakbas, S., Rojas, JI, van der Mei, I …, 2021 | 8 | 2021 |
| Clinical population genetic analysis of variants in the SARS-CoV-2 receptor ACE2 A Ardeshirdavani, P Zakeri, A Mehrtash, SM Hosseini, G Li, ... medRxiv, 2020.05. 27.20115071, 2020 | 5 | 2020 |
| HiVA: an integrative wet-and dry-lab platform for haplotype and copy number analysis of single-cell genomes MZ Esteki, A Ardeshirdavani, D Alcaide, H Masset, J Ding, A Sifrim, ... bioRxiv, 564914, 2019 | 5 | 2019 |
| 1298Associations of DMT therapies with COVID-19 severity in multiple sclerosis. S Simpson-Yap, ED Brouwer, T Kalincik, N Rijke, J Hillert, C Walton, ... International Journal of Epidemiology 50, 2021 | 3 | 2021 |
| NGS-Logistics: data infrastructure for efficient analysis of NGS sequence variants across multiple centers A Ardeshirdavani, E Souche, L Dehaspe, J Van Houdt, JR Vermeesch, ... BMC Bioinformatics 16, 1-3, 2015 | 3 | 2015 |
Yves MoreauUniversity of LeuvenVerified email at esat.kuleuven.be
