#BayesPrism
LightNews LightNews
amrojasm.bsky.social
bayesian inference of tumor microenvironment 🧪https://github.com/Danko-Lab/BayesPrism
GitHub - Danko-Lab/BayesPrism: A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression
A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression - Danko-Lab/BayesPrism
github.com
December 31, 2024 at 4:13 PM
lahuuki.bsky.social
We ran #deconvolution on the 110 bulk RNA-seq samples, with six selected methods: #DWLS, #bisqueRNA, #MuSiC, #BayesPrism, #hspe, and #CIBERSORTx. The methods returned a wide range of proportion estimates 📊
April 11, 2025 at 2:35 PM
leerobertslab.bsky.social
Application of CIBERSORTx and BayesPrism to deconvolution of bulk RNA-seq data from human myocardium and skeletal muscle: Heliyon www.cell.com/heliyon/full...
Application of CIBERSORTx and BayesPrism to deconvolution of bulk RNA-seq data from human myocardium and skeletal muscle
RNA-sequencing (RNA-seq) is an important tool to explore molecular mechanisms of disease. Technological advances mean this can be performed at the single-cell level, but the large sample sizes needed ...
www.cell.com
February 16, 2025 at 10:19 PM
cell-regeneration.bsky.social
Cell Regen Research | BayesPrism-DWLS enables integrated inference of cell-type proportions and gene expression from bulk RNA-seq and spatial data!
#StemCells #Transcriptomics
🔗 Reveal cell-type-specific programs missed by conventional analysis: doi.org/10.1186/s136...
Schematic illustration of the benchmarking workflow and the BayesPrism-DWLS framework. Public scRNA-seq and bulk RNA-seq datasets from multiple tissues were used to systematically benchmark cell-type proportion and gene expression deconvolution methods. Performance was evaluated using Pearson correlation, RMSE, cosine similarity, and Bray–Curtis dissimilarity, together with additional experimental validation. Based on these results, the BayesPrism-DWLS framework was developed to infer cell-type proportions and cell-type-specific gene expression from bulk RNA-seq and spatial transcriptomics data. Figure created with BioRender.com
August 17, 2026 at 8:09 AM
kevinjtu.bsky.social
We first benchmarked 15 tumor microenvironment deconvolution methods in 693 breast cancers with matched imaging mass cytometry from the METABRIC cohort. InstaPrism (cousin of BayesPrism) consistently performed best—so we used it for the full 14,837-sample cohort.
November 10, 2025 at 5:24 PM
bigearthdata.ai
Single-cell and spatial transcriptomics of stricturing Crohn's disease highlights a fibrosis-associated network
->Nature | #Disease #Health | More info from EcoSearch
Single-cell and spatial transcriptomics of stricturing Crohn's disease highlights a fibrosis-associated network
a, For select cell types (x axis), the distribution of the radial axis scores of spots that contain high proportions of the cell type (>10% frequency estimated by the BayesPrism deconvolution). For clarity, only cell types with statistically significant differences...
www.nature.com
June 25, 2025 at 10:22 AM
trinobia.bsky.social
The researchers integrated:

- 10x Visium spatial transcriptomics
- A 200,000-cell scRNA-seq atlas
- RCTD and BayesPrism deconvolution
- Spatial clustering approaches

The result is a stage-by-stage map of how the microenvironment shifts independently of the epithelium.

#Genomics #NextGenSequencing
June 2, 2026 at 6:21 PM