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Robrecht Cannoodt

Showing results (1-10 of 22) with videos related to

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Nature Communications|March 17, 2018
A comprehensive evaluation of module detection methods for gene expression dataWouter Saelens, Robrecht Cannoodt, Yvan Saeys
European Journal of Immunology|September 30, 2016
Computational methods for trajectory inference from single-cell transcriptomicsRobrecht Cannoodt, Wouter Saelens, Yvan Saeys
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Network Inference from Single-Cell Transcriptomic DataHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Nature Biotechnology|April 3, 2019
A comparison of single-cell trajectory inference methodsWouter Saelens, Robrecht Cannoodt, Helena Todorov, et al.
Bioinformatics (Oxford, England)|July 14, 2020
TinGa: fast and flexible trajectory inference with Growing Neural GasHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Nature Communications|June 25, 2021
Spearheading future omics analyses using dyngen, a multi-modal simulator of single cellsRobrecht Cannoodt, Wouter Saelens, Louise Deconinck, et al.
Plos One|April 27, 2018
IncGraph: Incremental graphlet counting for topology optimisationRobrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, et al.
Oncotarget|January 2, 2018
Early and late effects of pharmacological ALK inhibition on the neuroblastoma transcriptomeShana Claeys, Geertrui Denecker, Robrecht Cannoodt, et al.
Genome Biology|September 19, 2025
Systematic benchmarking of computational methods to identify spatially variable genesZhijian Li, Zain M Patel, Dongyuan Song, et al.
Nature Communications|March 7, 2020
Trajectory-based differential expression analysis for single-cell sequencing dataKoen Van den Berge, Hector Roux de Bézieux, Kelly Street, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Nature Communications|March 17, 2018
A comprehensive evaluation of module detection methods for gene expression dataWouter Saelens, Robrecht Cannoodt, Yvan Saeys
European Journal of Immunology|September 30, 2016
Computational methods for trajectory inference from single-cell transcriptomicsRobrecht Cannoodt, Wouter Saelens, Yvan Saeys
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Network Inference from Single-Cell Transcriptomic DataHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Nature Biotechnology|April 3, 2019
A comparison of single-cell trajectory inference methodsWouter Saelens, Robrecht Cannoodt, Helena Todorov, et al.
Bioinformatics (Oxford, England)|July 14, 2020
TinGa: fast and flexible trajectory inference with Growing Neural GasHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Nature Communications|June 25, 2021
Spearheading future omics analyses using dyngen, a multi-modal simulator of single cellsRobrecht Cannoodt, Wouter Saelens, Louise Deconinck, et al.
Plos One|April 27, 2018
IncGraph: Incremental graphlet counting for topology optimisationRobrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, et al.
Oncotarget|January 2, 2018
Early and late effects of pharmacological ALK inhibition on the neuroblastoma transcriptomeShana Claeys, Geertrui Denecker, Robrecht Cannoodt, et al.
Genome Biology|September 19, 2025
Systematic benchmarking of computational methods to identify spatially variable genesZhijian Li, Zain M Patel, Dongyuan Song, et al.
Nature Communications|March 7, 2020
Trajectory-based differential expression analysis for single-cell sequencing dataKoen Van den Berge, Hector Roux de Bézieux, Kelly Street, et al.
Pageof 3