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Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
570-BayesPrism: Cell Type and Gene Expression Deconvolution
Wenyi Wang | A Guide to Transcriptomic Deconvolution in Cancer | CGSI 2025
Rongshan Yu - A deep neural network based approach for tumor deconvolution
1616-Statescope: Multi-Omics Deconvolution for Tumor States
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
Wenyi Wang | A Guide to Perform Transcriptomic Deconvolution in Cancer | CGSI 2024
12. Segmentation-free inference of cell types from in situ transcriptomics data
8 Visium data: Subset and integrate with single-cell data (update, August 2023)
Deconvolution of tumor copy number data using bulk and... - Haoyun Lei - ISMB 2018 Special Sessions
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Last Updated: September 28, 2026
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For more information about the materials discussed in this video, check doi.org/10.1101/2020.01.19.910976. To ... Alma Andersson, PhD Bioinformatician Department of Gene Technology, KTH SciLifeLab, Stockholm, Sweden Video editing: ... I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have ... Researchers have developed a new statistical tool called BayesPrism to better understand the complex tumor microenvironment ... Wenyi Wang | A Guide to Transcriptomic Talk 6.1 from the ERCC's April 2021 exRNA The paper introduces Statescope, a novel Bayesian framework designed This lecture by Jeongbin Park (Charité-Universitätsmedizin Berlin & de.NBI, Germany) is part of the course "Single This video describes the steps in integration
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