GUSEV | Larsen, Jensen, and Svenningsen: transcriptome deconvolution for EV source determination
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
Spatially informed cell-type deconvolution for spatial transcriptomics
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Last Updated: September 28, 2026
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Summary
For more information about the materials discussed in this video, check doi.org/10.1101/2020.01.19.910976. To ... Researchers have developed a new statistical tool called BayesPrism to better understand the complex tumor microenvironment ... Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... FlashDeconv is a newly developed computational framework designed for high-speed, accurate How can subsurface structures be emphasised with an even higher degree of sharpness? Comparison between optical and ... Ying Ma | Statistical and Computational Methods for DECODE is introduced as a versatile deep learning framework designed to estimate This EVClub is a joint effort with GUSEV, the ISEV Genitourinary System EV interest group. Monica Ng begins with an introduction ... I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ... Ying Ma, from University of Michigan, Ann Arbor, about her Nature Biotechnology paper, "Spatially informed