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Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequencing data analysis
View ORCID ProfileTamim Abdelaal, View ORCID ProfileJeroen Eggermont, Thomas Höllt, View ORCID ProfileAhmed Mahfouz, View ORCID ProfileMarcel J.T. Reinders, View ORCID ProfileBoudewijn P.F. Lelieveldt
doi: https://doi.org/10.1101/2020.12.11.421883
Tamim Abdelaal
1Department of Radiology, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
2Delft Bioinformatics Lab, Delft University of Technology, 2628 XE Delft, The Netherlands
3Leiden Computational Biology Center, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
Jeroen Eggermont
1Department of Radiology, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
Thomas Höllt
3Leiden Computational Biology Center, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
4Computer Graphics and Visualization, Delft University of Technology, 2628 XE Delft, The Netherlands
Ahmed Mahfouz
2Delft Bioinformatics Lab, Delft University of Technology, 2628 XE Delft, The Netherlands
3Leiden Computational Biology Center, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
5Department of Human Genetics, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
Marcel J.T. Reinders
2Delft Bioinformatics Lab, Delft University of Technology, 2628 XE Delft, The Netherlands
3Leiden Computational Biology Center, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
Boudewijn P.F. Lelieveldt
1Department of Radiology, Leiden University Medical Center, 2333ZC Leiden, The Netherlands
2Delft Bioinformatics Lab, Delft University of Technology, 2628 XE Delft, The Netherlands

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Posted December 12, 2020.
Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequencing data analysis
Tamim Abdelaal, Jeroen Eggermont, Thomas Höllt, Ahmed Mahfouz, Marcel J.T. Reinders, Boudewijn P.F. Lelieveldt
bioRxiv 2020.12.11.421883; doi: https://doi.org/10.1101/2020.12.11.421883
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