datasets for validation of cell deconvolution methods
收藏NIAID Data Ecosystem2026-03-13 收录
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Many datasets for validation of cell deconvolution methods
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2021-12-09
相关数据集
Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT
All the analysis code and processed data required to produce figures in the paper "Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT"
DataCite Commons2025-08-05 更新220
Pathway-Level Information ExtractoR (PLIER) for gene expression data. Pathway-Level Information ExtractoR (PLIER) for gene expression data
A major challenge in gene expression analysis is to accurately infer relevant biological insight, such as variation in cell type proportion or pathway activity, from global gene expression studies. We
NIAID Data Ecosystem50
Cell type inference in human lung tissue by domain adaptation of single-cell and spatial transcriptomic data. Cell type inference in human lung tissue by domain adaptation of single-cell and spatial transcriptomic data
We developed a method, CellDART, which estimates the spatial distribution of cells defined by single-cell level data using domain adaptation of neural networks, and applied to the spatial mapping of h
NIAID Data Ecosystem40
Amy_FC_allcells_with_metadata_31-Jul-2022.txt
table contain the UMI count of single cells final dataset related to Hochgerner et al 2022. the table includes all metdata and infered cell types of each single cell.
DataCite Commons2025-06-01 更新60
Additional file 2 of SCADIE: simultaneous estimation of cell type proportions and cell type-specific gene expressions using SCAD-based iterative estimating procedure
Additional file 2 Supplementary Table S1 contains details on the DEGs exclusively identified by SCADIE as discussed in Section ‘SCADIE accurately infers cell proportions and cell type-specific genes i
DataCite Commons2022-06-16 更新50
