Data connected with "Cell signaling pathways discovery from multi-modal data"
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/14775407
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资源简介：
Input data used to run Incytr as described in "Cell signaling pathways discovery from multi-modal data":
mc38_input_data:
pr_10, pr_14: total proteomics for 10 and 14 day conditions deconvoluted by cell type
ps_10, ps_14: pS phosphoproteomics for 10 and 14 day conditions deconvoluted by cell type
py_10, py_14: pY phosphoproteomics for 10 and 14 day conditions deconvoluted by cell type
kldata: Kinase Library predictions for observed phosphosites
mc38b.rds: Seurat object with scRNA-seq data
input_gene_list: markers and highly expressed genes in transcriptomics data
5xfad_input_data:
processed_pr_5X_v2, processed_pr_WT_v2: total proteomics for 5X and WT conditions deconvoluted by cell type
processed_ps_5X_v2, processed_ps_WT_v2: pS phosphoproteomics for 5X and WT conditions deconvoluted by cell type
processed_py_5X_v2, processed_py_WT_v2: pY phosphoproteomics for 5X and WT conditions deconvoluted by cell type
kldata: Kinase Library predictions for observed phosphosites
transcriptomics is available from Zhou et al. (2020)
covid_input_data:
covid_bl_t_2024.rds: Seurat object with scRNA-seq data (T cells from BL group)
additional_input_genes: additional genes used as input to Incytr besides those indicated through high expression in the transcriptomic data
First cohort data available at Gene Expression Omnibus (GSE186267)
创建时间：
2025-02-13
