Robrecht Cannoodt
Title
Cited by
Cited by
Year
A comparison of single-cell trajectory inference methods
W Saelens, R Cannoodt, H Todorov, Y Saeys
Nature biotechnology 37 (5), 547-554, 2019
2912019
Computational methods for trajectory inference from single‐cell transcriptomics
R Cannoodt, W Saelens, Y Saeys
European journal of immunology 46 (11), 2496-2506, 2016
1022016
A comprehensive evaluation of module detection methods for gene expression data
W Saelens, R Cannoodt, Y Saeys
Nature communications 9 (1), 1090, 2018
662018
The Transcription Factor ZEB2 Is Required to Maintain the Tissue-Specific Identities of Macrophages
CL Scott, W T’Jonck, L Martens, H Todorov, D Sichien, B Soen, ...
Immunity 49 (2), 312-325. e5, 2018
622018
Genomic amplifications and distal 6q loss: novel markers for poor survival in high-risk neuroblastoma patients
P Depuydt, V Boeva, TD Hocking, R Cannoodt, IM Ambros, PF Ambros, ...
JNCI: Journal of the National Cancer Institute 110 (10), 1084-1093, 2018
322018
arrEYE: a customized platform for high-resolution copy number analysis of coding and noncoding regions of known and candidate retinal dystrophy genes and retinal noncoding RNAs
C Van Cauwenbergh, K Van Schil, R Cannoodt, M Bauwens, ...
Genetics in Medicine 19 (4), 457-466, 2017
282017
Essential guidelines for computational method benchmarking
LM Weber, W Saelens, R Cannoodt, C Soneson, A Hapfelmeier, ...
Genome Biology 20 (1), 125, 2019
242019
SCORPIUS improves trajectory inference and identifies novel modules in dendritic cell development
R Cannoodt, W Saelens, D Sichien, S Tavernier, S Janssens, M Guilliams, ...
bioRxiv, 079509, 2016
242016
Trajectory-based differential expression analysis for single-cell sequencing data
K Van den Berge, HR De Bezieux, K Street, W Saelens, R Cannoodt, ...
BioRxiv, 623397, 2019
182019
Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.
A Decock, M Ongenaert, R Cannoodt, K Verniers, B De Wilde, G Laureys, ...
Oncotarget 7 (2), 1960-1972, 2016
142016
Network Inference from Single-Cell Transcriptomic Data
H Todorov, R Cannoodt, W Saelens, Y Saeys
Gene Regulatory Networks, 235-249, 2019
112019
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, 2020
62020
IncGraph: Incremental graphlet counting for topology optimisation
R Cannoodt, J Ruyssinck, J Ramon, K De Preter, Y Saeys
PloS one 13 (4), e0195997, 2018
22018
Early and late effects of pharmacological ALK inhibition on the neuroblastoma transcriptome
S Claeys, G Denecker, R Cannoodt, C Kumps, K Durinck, F Speleman, ...
Oncotarget 8 (63), 106820, 2017
22017
Network inference by integrating biclustering and feature selection
R Cannoodt, J Ruyssinck, K De Preter, T Dhaene, Y Saeys
BeNeLux Bioinformatics Conference 2013, 33-33, 2013
22013
The Rockerverse: Packages and Applications for Containerization with R
D Nüst, D Eddelbuettel, D Bennett, R Cannoodt, D Clark, G Daroczi, ...
arXiv preprint, 2020
2020
dyngen: a multi-modal simulator for spearheading new single-cell omics analyses
R Cannoodt, W Saelens, L Deconinck, Y Saeys
BioRxiv, 2020
2020
Modelling single-cell dynamics with trajectories and gene regulatory networks
R Cannoodt
Ghent University, 2019
2019
The RNA Atlas, a single nucleotide resolution map of the human transcriptome
L Lorenzi, HS Chiu, FA Cobos, S Gross, PJ Volders, R Cannoodt, ...
bioRxiv, 807529, 2019
2019
Package ‘princurve’ v2.0
T Hastie, A Weingessel, K Hornik, H Bengtsson, R Cannoodt
2018
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Articles 1–20