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Vladimir Yu Kiselev

Showing results (1-10 of 17) with videos related to

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Nature Methods|April 3, 2018
scmap: projection of single-cell RNA-seq data across data setsVladimir Yu Kiselev, Andrew Yiu, Martin Hemberg
Nature Reviews. Genetics|January 24, 2019
Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq dataVladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg
Biophysical Journal|March 1, 2011
Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo studyVladimir Yu Kiselev, Davide Marenduzzo, Andrew B Goryachev
Nature Reviews. Genetics|January 9, 2019
Challenges in unsupervised clustering of single-cell RNA-seq dataVladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg
Nature Protocols|December 8, 2020
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing dataTallulah S Andrews, Vladimir Yu Kiselev, Davis McCarthy, et al.
Nucleic Acids Research|February 1, 2021
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBenchRuben Chazarra-Gil, Stijn van Dongen, Vladimir Yu Kiselev, et al.
Nature Methods|March 2, 2021
Fast searches of large collections of single-cell data using scfindJimmy Tsz Hang Lee, Nikolaos Patikas, Vladimir Yu Kiselev, et al.
The Journal of Chemical Physics|October 28, 2011
Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: comparison of continuous and Monte Carlo approachesVladimir Yu Kiselev, Marcin Leda, Alexey I Lobanov, et al.
NAR Genomics and Bioinformatics|August 9, 2020
Comparison of visualization tools for single-cell RNAseq dataBatuhan Cakir, Martin Prete, Ni Huang, et al.
Nucleic Acids Research|October 15, 2015
Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loopVladimir Yu Kiselev, Veronique Juvin, Mouhannad Malek, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Nature Methods|April 3, 2018
scmap: projection of single-cell RNA-seq data across data setsVladimir Yu Kiselev, Andrew Yiu, Martin Hemberg
Nature Reviews. Genetics|January 24, 2019
Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq dataVladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg
Biophysical Journal|March 1, 2011
Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo studyVladimir Yu Kiselev, Davide Marenduzzo, Andrew B Goryachev
Nature Reviews. Genetics|January 9, 2019
Challenges in unsupervised clustering of single-cell RNA-seq dataVladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg
Nature Protocols|December 8, 2020
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing dataTallulah S Andrews, Vladimir Yu Kiselev, Davis McCarthy, et al.
Nucleic Acids Research|February 1, 2021
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBenchRuben Chazarra-Gil, Stijn van Dongen, Vladimir Yu Kiselev, et al.
Nature Methods|March 2, 2021
Fast searches of large collections of single-cell data using scfindJimmy Tsz Hang Lee, Nikolaos Patikas, Vladimir Yu Kiselev, et al.
The Journal of Chemical Physics|October 28, 2011
Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: comparison of continuous and Monte Carlo approachesVladimir Yu Kiselev, Marcin Leda, Alexey I Lobanov, et al.
NAR Genomics and Bioinformatics|August 9, 2020
Comparison of visualization tools for single-cell RNAseq dataBatuhan Cakir, Martin Prete, Ni Huang, et al.
Nucleic Acids Research|October 15, 2015
Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loopVladimir Yu Kiselev, Veronique Juvin, Mouhannad Malek, et al.
Pageof 2