Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Wouter Saelens

Showing results (1-10 of 26) with videos related to

Pageof 3
Sort By:
Nature Communications|January 2, 2025
ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learningWouter Saelens, Olga Pushkarev, Bart Deplancke
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
Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
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.
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.
Genome Biology|July 18, 2024
Non-coding variants impact cis-regulatory coordination in a cell type-specific mannerOlga Pushkarev, Guido van Mierlo, Judith Franziska Kribelbauer, 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 26) with videos related to

Sort By:
Pageof 3
Nature Communications|January 2, 2025
ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learningWouter Saelens, Olga Pushkarev, Bart Deplancke
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
Nature Methods|December 11, 2019
NicheNet: modeling intercellular communication by linking ligands to target genesRobin Browaeys, Wouter Saelens, Yvan Saeys
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.
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.
Genome Biology|July 18, 2024
Non-coding variants impact cis-regulatory coordination in a cell type-specific mannerOlga Pushkarev, Guido van Mierlo, Judith Franziska Kribelbauer, 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