我在安裝R包STUtility包時(shí)，一直處于失敗的狀態(tài)
https://ludvigla.github.io/STUtility_web_site/Installation.html

devtools::install_github("jbergenstrahle/STUtility")

最終總是顯示
解決辦法：
首先錯(cuò)誤中提供的網(wǎng)址是可以下載的
下載后，本地安裝即可

install.packages("~/Desktop/問題/jbergenstrahle-STUtility-1.1-2-gf120348.tar.gz", repos = NULL, type = "source")

這里會(huì)提示安裝以下的依賴包

install.packages("zeallot") install.packages("imager") install.packages("Morpho") install.packages("Rvcg") install.packages("spatstat") install.packages("imagerExtra") install.packages("shinyjs") install.packages("ggiraph")

再次安裝就可以成功了

install.packages("~/Desktop/問題/jbergenstrahle-STUtility-1.1-2-gf120348.tar.gz", repos = NULL, type = "source")

測(cè)試demo

library(STutility) library(SeuratData) library(Seurat) library(tidyverse) df <- data.frame(samples =c("/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_1/filtered_feature_bc_matrix.h5",'/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_2/filtered_feature_bc_matrix.h5'),spotfiles = c("/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_1/spatial/tissue_positions_list.csv",'/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_2/spatial/tissue_positions_list.csv'),imgs = c("/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_1/spatial/tissue_hires_image.png",'/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_2/spatial/tissue_hires_image.png'),json = c("/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_1/spatial/scalefactors_json.json",'/Volumes/MACPAN/空間轉(zhuǎn)錄組數(shù)據(jù)集/BreastCancer/V1_Breast_Cancer_Block_A_Section_2/spatial/scalefactors_json.json')) df?InputFromTable # 依然會(huì)過濾一些 se <- InputFromTable(infotable = df, min.gene.count = 100, min.gene.spots = 5,min.spot.count = 500,platform = "Visium")library(foreach) library(parallel) plt <- function(i){print(ggplot() +geom_histogram(data = se[[]], aes(get(i)), fill = "red", alpha = 0.7, color = "gray", bins = 50) +Seurat::DarkTheme() +ggtitle(paste0("Total", i , " per spots")))}pl = list() pl1 <- foreach::foreach(i = c('nFeature_RNA','nCount_RNA'),.packages = c("Seurat","ggplot2")) %dopar% plt(i)gene_attr <- data.frame(nUMI = Matrix::rowSums(se@assays$RNA@counts), nSpots = Matrix::rowSums(se@assays$RNA@counts > 0))plt2 <- function(i){print(ggplot() +geom_histogram(data = gene_attr, aes(get(i)), fill = "red", alpha = 0.7, color = "gray", bins = 50) +Seurat::DarkTheme() +ggtitle(paste0("Total", i , " per gene")))}pl2 <- foreach::foreach(i = c('nUMI','nSpots'),.packages = c("Seurat","ggplot2")) %dopar% plt2(i)print(cowplot::plot_grid(plotlist = c(pl1,pl2)))

結(jié)果如下

總結(jié)

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