【UCell】gene signature enrichment based on the Mann-Whitney U statistics

ucell的设计本意是通过cell type signature打分进行细胞注释，但一样可以用于其它gene set的打分

首先做好gene signature list，与seurat流程相整合。对每个细胞计算每个条目的得分，每个条目的得分会存储在seurat object- metadata里的列。

demo1: 简单快速用法

注意：ucell直接在count上走流程，可视化的时候才normalize scale等.但其他的demo都是先走标准流程。

library(remotes)
remotes::install_github("carmonalab/UCell")library(UCell)
set.seed(123)###加载示例数据集
library(GEOquery)
cached.object <- "demodata.rds"if (!file.exists(cached.object)) {geo_acc <- "GSE115978"options(timeout = max(1000, getOption("timeout")))gse <- getGEO(geo_acc)getGEOSuppFiles(geo_acc)exp.mat <- read.csv(sprintf("%s/GSE115978_counts.csv.gz", geo_acc), header = T,row.names = 1, sep = ",")saveRDS(exp.mat, cached.object)
} else {exp.mat <- readRDS(cached.object)
}###define gene signatures
signatures <- list(Immun

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