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Danila Bredikhin

Showing results (1-10 of 9) with videos related to

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Genome Biology|February 2, 2022
MUON: multimodal omics analysis frameworkDanila Bredikhin, Ilia Kats, Oliver Stegle
Genome Biology|May 13, 2020
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell dataRicard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Nature Methods|January 14, 2022
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTOBritta Velten, Jana M Braunger, Ricard Argelaguet, et al.
Cell Systems|July 8, 2020
A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation ProgramCelia Alda-Catalinas, Danila Bredikhin, Irene Hernando-Herraez, et al.
Bioinformatics (Oxford, England)|May 11, 2026
anndataR improves interoperability between R and Python in single-cell transcriptomicsLouise Deconinck, Luke Zappia, Robrecht Cannoodt, et al.
Brain : a Journal of Neurology|December 1, 2023
Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosisMaria Ban, Danila Bredikhin, Yuanhua Huang, et al.
Developmental Cell|November 30, 2024
Systemic coordination of whole-body tissue remodeling during local regeneration in sea anemonesStephanie Cheung, Danila Bredikhin, Tobias Gerber, et al.
Nature Biotechnology|April 10, 2023
The scverse project provides a computational ecosystem for single-cell omics data analysisIsaac Virshup, Danila Bredikhin, Lukas Heumos, et al.
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
Molecular convergence of risk variants for congenital heart defects leveraging a regulatory map of the human fetal heartX Rosa Ma, Stephanie D Conley, Michael Kosicki, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Genome Biology|February 2, 2022
MUON: multimodal omics analysis frameworkDanila Bredikhin, Ilia Kats, Oliver Stegle
Genome Biology|May 13, 2020
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell dataRicard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Nature Methods|January 14, 2022
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTOBritta Velten, Jana M Braunger, Ricard Argelaguet, et al.
Cell Systems|July 8, 2020
A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation ProgramCelia Alda-Catalinas, Danila Bredikhin, Irene Hernando-Herraez, et al.
Bioinformatics (Oxford, England)|May 11, 2026
anndataR improves interoperability between R and Python in single-cell transcriptomicsLouise Deconinck, Luke Zappia, Robrecht Cannoodt, et al.
Brain : a Journal of Neurology|December 1, 2023
Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosisMaria Ban, Danila Bredikhin, Yuanhua Huang, et al.
Developmental Cell|November 30, 2024
Systemic coordination of whole-body tissue remodeling during local regeneration in sea anemonesStephanie Cheung, Danila Bredikhin, Tobias Gerber, et al.
Nature Biotechnology|April 10, 2023
The scverse project provides a computational ecosystem for single-cell omics data analysisIsaac Virshup, Danila Bredikhin, Lukas Heumos, et al.
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
Molecular convergence of risk variants for congenital heart defects leveraging a regulatory map of the human fetal heartX Rosa Ma, Stephanie D Conley, Michael Kosicki, et al.
Pageof 1