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Spatial Transcriptomics 5:34
📺 Journal of Investigative Dermatology (JID) 👁️ 40,162 views

9 Visium Data Identifying Cell Types Using Deconvolution Information Guide

  1. Background on 9 Visium Data Identifying Cell Types Using Deconvolution
  2. Important Facts
  3. Developments
  4. Detailed Analysis
  5. Final Thoughts

Background on 9 Visium Data Identifying Cell Types Using Deconvolution

Information 9 Visium data: Identifying cell types using deconvolution News
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Important Facts

Details BioTuring Lens: Spatial Deconvolution on Visium Data Update
Explore the main sources for 9 Visium Data Identifying Cell Types Using Deconvolution.

Developments

Details 09 Celltype deconvolution overview Guide
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9 Visium data (2024): Analysis with multiple samples
9 Visium data (2024): Analysis with multiple samples
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
Reference-free cell type deconvolution of spatial transcriptomics data with STdeconvolve
Microscopy: Deconvolution Microscopy (David Agard)
Microscopy: Deconvolution Microscopy (David Agard)
Simultaneous deconvolution of bulk-sample and... - Maryna Chepeleva - TransMed - ISMB 2020 Posters
Simultaneous deconvolution of bulk-sample and... - Maryna Chepeleva - TransMed - ISMB 2020 Posters
Deconvolution of tumor copy number data using bulk and... - Haoyun Lei - ISMB 2018 Special Sessions
Deconvolution of tumor copy number data using bulk and... - Haoyun Lei - ISMB 2018 Special Sessions
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
[2025-08-13] Journal club: Cell-type deconvolution methods for spatial transcriptomics
Spatially Resolve Whole Transcriptome Data with High Resolution & Morphological Context Using Visium
Spatially Resolve Whole Transcriptome Data with High Resolution & Morphological Context Using Visium
8 Visium data: Subset and integrate with single-cell data (update, August 2023)
8 Visium data: Subset and integrate with single-cell data (update, August 2023)
Cellular Deconvolution
Cellular Deconvolution
12. Segmentation-free inference of cell types from in situ transcriptomics data
12. Segmentation-free inference of cell types from in situ transcriptomics data
Spatial Transcriptomics
Spatial Transcriptomics

Detailed Analysis

Data is compiled from public records and verified media reports.

Last Updated: August 16, 2026

Final Thoughts

Rongshan Yu - A deep neural network based approach for tumor deconvolution News
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