Yvan Saeys
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A review of feature selection techniques in bioinformatics
Y Saeys, I Inza, P Larranaga
bioinformatics 23 (19), 2507-2517, 2007
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature methods 9 (8), 796-804, 2012
FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
S Van Gassen, B Callebaut, MJ Van Helden, BN Lambrecht, P Demeester, ...
Cytometry Part A 87 (7), 636-645, 2015
A comparison of single-cell trajectory inference methods
W Saelens, R Cannoodt, H Todorov, Y Saeys
Nature biotechnology 37 (5), 547-554, 2019
NicheNet: modeling intercellular communication by linking ligands to target genes
R Browaeys, W Saelens, Y Saeys
Nature methods 17 (2), 159-162, 2020
Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features
E Derelle, C Ferraz, S Rombauts, P Rouzé, AZ Worden, S Robbens, ...
Proceedings of the National Academy of Sciences 103 (31), 11647-11652, 2006
Robust feature selection using ensemble feature selection techniques
Y Saeys, T Abeel, Y Van de Peer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Unsupervised high-dimensional analysis aligns dendritic cells across tissues and species
M Guilliams, CA Dutertre, CL Scott, N McGovern, D Sichien, S Chakarov, ...
Immunity 45 (3), 669-684, 2016
Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells
CL Scott, F Zheng, P De Baetselier, L Martens, Y Saeys, S De Prijck, ...
Nature communications 7 (1), 10321, 2016
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
T Abeel, T Helleputte, Y Van de Peer, P Dupont, Y Saeys
Bioinformatics 26 (3), 392-398, 2010
The function of Fcγ receptors in dendritic cells and macrophages
M Guilliams, P Bruhns, Y Saeys, H Hammad, BN Lambrecht
Nature Reviews Immunology 14 (2), 94-108, 2014
A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment
H Van Hove, L Martens, I Scheyltjens, K De Vlaminck, AR Pombo Antunes, ...
Nature neuroscience 22 (6), 1021-1035, 2019
A scalable SCENIC workflow for single-cell gene regulatory network analysis
B Van de Sande, C Flerin, K Davie, M De Waegeneer, G Hulselmans, ...
Nature protocols 15 (7), 2247-2276, 2020
Yolk sac macrophages, fetal liver, and adult monocytes can colonize an empty niche and develop into functional tissue-resident macrophages
L van de Laar, W Saelens, S De Prijck, L Martens, CL Scott, ...
Immunity 44 (4), 755-768, 2016
A cell atlas of human thymic development defines T cell repertoire formation
JE Park, RA Botting, C Domínguez Conde, DM Popescu, M Lavaert, ...
Science 367 (6480), eaay3224, 2020
Computational flow cytometry: helping to make sense of high-dimensional immunology data
Y Saeys, S Van Gassen, BN Lambrecht
Nature Reviews Immunology 16 (7), 449-462, 2016
Trajectory-based differential expression analysis for single-cell sequencing data
K Van den Berge, H Roux de Bézieux, K Street, W Saelens, R Cannoodt, ...
Nature communications 11 (1), 1201, 2020
Stellate cells, hepatocytes, and endothelial cells imprint the Kupffer cell identity on monocytes colonizing the liver macrophage niche
J Bonnardel, W T’Jonck, D Gaublomme, R Browaeys, CL Scott, L Martens, ...
Immunity 51 (4), 638-654. e9, 2019
Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches
M Guilliams, J Bonnardel, B Haest, B Vanderborght, C Wagner, ...
Cell 185 (2), 379-396. e38, 2022
Osteopontin expression identifies a subset of recruited macrophages distinct from Kupffer cells in the fatty liver
A Remmerie, L Martens, T Thoné, A Castoldi, R Seurinck, B Pavie, ...
Immunity 53 (3), 641-657. e14, 2020
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