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Nature Communications
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April 15, 2026
Comparison and optimization of cellular neighbor preference methods for quantitative tissue analysis
Chiara Schiller, Miguel A Ibarra-Arellano, Kresimir Bestak, et al.
BMC Bioinformatics
|
January 22, 2026
QuAPPro: an R shiny app for quantification and alignment of polysome profiles
Chiara Schiller, Matthias Lemmer, Sonja Reitter, et al.
Blood Cancer Discovery
|
February 24, 2026
Multiplexed imaging reveals immune-metabolic niches in multiple myeloma linked to progression and bone disease
Ingrid Aass Roseth, Lukas Hatscher, Chiara Schiller, et al.
Nature Communications
|
March 13, 2024
Single-cell division tracing and transcriptomics reveal cell types and differentiation paths in the regenerating lung
Leila R Martins, Lina Sieverling, Michelle Michelhans, et al.
Gigascience
|
May 29, 2025
Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities
Claire Simpson, Evgeniy Tabatsky, Zainab Rahil, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Nature Communications
|
April 15, 2026
Comparison and optimization of cellular neighbor preference methods for quantitative tissue analysis
Chiara Schiller, Miguel A Ibarra-Arellano, Kresimir Bestak, et al.
BMC Bioinformatics
|
January 22, 2026
QuAPPro: an R shiny app for quantification and alignment of polysome profiles
Chiara Schiller, Matthias Lemmer, Sonja Reitter, et al.
Blood Cancer Discovery
|
February 24, 2026
Multiplexed imaging reveals immune-metabolic niches in multiple myeloma linked to progression and bone disease
Ingrid Aass Roseth, Lukas Hatscher, Chiara Schiller, et al.
Nature Communications
|
March 13, 2024
Single-cell division tracing and transcriptomics reveal cell types and differentiation paths in the regenerating lung
Leila R Martins, Lina Sieverling, Michelle Michelhans, et al.
Gigascience
|
May 29, 2025
Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities
Claire Simpson, Evgeniy Tabatsky, Zainab Rahil, et al.
Page
of 1