The datasets for validation of cell deconvolution methods
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资源简介：
Many datasets for validation of cell deconvolution methods
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创建时间：
2021-12-08
相关数据集
Additional file 5 of Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes
Additional file 5: Table S4. Datasets used to evaluate deconvolution accuracy. Annotations include methods for setting the gold-standard composition, quality of deconvolution, sample types, cell or nu
DataCite Commons2023-08-02 更新70
Additional file 8: of Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data
Table S6. pickCompProbes reference library probes using raw combined reference. (CSV 370 kb)
DataCite Commons2020-08-26 更新60
Source Data Underlying Manuscript Figures
Fig1aSupplementaryDataMixture.xlsx Source data underlying Figure 1a of the manuscript. In Silico mixtures which are deconvolved. Row names:CellType - Cell type spiked in at a parti
DataCite Commons2020-08-25 更新50
Additional file 2 of Heterogeneous pseudobulk simulation enables realistic benchmarking of cell-type deconvolution methods
Additional file 2. Supplementary tables S1-S4 referenced in the main text.
Figshare2024-08-15 更新60
Uncertainty quantification of reference-based cellular deconvolution algorithms
The majority of epigenetic epidemiology studies to date have generated genome-wide profiles from bulk tissues (e.g., whole blood) however these are vulnerable to confounding from variation in cellular
DataCite Commons2023-02-24 更新50
