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Yvan Saeys

Showing results (1-10 of 183) with videos related to

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Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 7, 2020
Special Issue on Machine Learning for Single Cell DataYvan Saeys, Greg Finak
The FEBS Journal|July 31, 2018
Computational approaches for high-throughput single-cell data analysisHelena Todorov, Yvan Saeys
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 8, 2023
An Introduction to Adversarially Robust Deep LearningJonathan Peck, Bart Goossens, Yvan Saeys
European Journal of Immunology|September 30, 2016
Computational methods for trajectory inference from single-cell transcriptomicsRobrecht Cannoodt, Wouter Saelens, Yvan Saeys
Nature Communications|March 17, 2018
A comprehensive evaluation of module detection methods for gene expression dataWouter Saelens, Robrecht Cannoodt, Yvan Saeys
Bioinformatics (Oxford, England)|August 28, 2007
A review of feature selection techniques in bioinformaticsYvan Saeys, Iñaki Inza, Pedro Larrañaga
Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
Nature Reviews. Immunology|December 23, 2017
Response to Orlova et al. "Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets"Yvan Saeys, Sofie Van Gassen, Bart Lambrecht
Scientific Reports|December 2, 2015
An integrated network of Arabidopsis growth regulators and its use for gene prioritizationEhsan Sabaghian, Zuzanna Drebert, Dirk Inzé, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Network Inference from Single-Cell Transcriptomic DataHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Pageof 19

Showing results (1-10 of 183) with videos related to

Sort By:
Pageof 19
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|March 7, 2020
Special Issue on Machine Learning for Single Cell DataYvan Saeys, Greg Finak
The FEBS Journal|July 31, 2018
Computational approaches for high-throughput single-cell data analysisHelena Todorov, Yvan Saeys
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 8, 2023
An Introduction to Adversarially Robust Deep LearningJonathan Peck, Bart Goossens, Yvan Saeys
European Journal of Immunology|September 30, 2016
Computational methods for trajectory inference from single-cell transcriptomicsRobrecht Cannoodt, Wouter Saelens, Yvan Saeys
Nature Communications|March 17, 2018
A comprehensive evaluation of module detection methods for gene expression dataWouter Saelens, Robrecht Cannoodt, Yvan Saeys
Bioinformatics (Oxford, England)|August 28, 2007
A review of feature selection techniques in bioinformaticsYvan Saeys, Iñaki Inza, Pedro Larrañaga
Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
Nature Reviews. Immunology|December 23, 2017
Response to Orlova et al. "Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets"Yvan Saeys, Sofie Van Gassen, Bart Lambrecht
Scientific Reports|December 2, 2015
An integrated network of Arabidopsis growth regulators and its use for gene prioritizationEhsan Sabaghian, Zuzanna Drebert, Dirk Inzé, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Network Inference from Single-Cell Transcriptomic DataHelena Todorov, Robrecht Cannoodt, Wouter Saelens, et al.
Pageof 19