R MetaboAnalystR 代谢组分析包

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本文档提供了详细的步骤来安装MetaboAnalystR代谢组分析包及其依赖的生物信息学包。首先安装一系列必要的R包，然后通过devtools安装MetaboAnalystR的最新版本。适用于希望使用此工具进行代谢组学研究的数据科学家和生物信息学家。

R MetaboAnalystR 代谢组分析包

https://github.com/xia-lab/MetaboAnalystR

#先安装一些依赖bio包
metr_pkgs <- c("Rserve", "ellipse", "scatterplot3d", "Cairo", "randomForest", "caTools", "e1071", "som", "impute", "pcaMethods", "RJSONIO", "ROCR", "globaltest", "GlobalAncova", "Rgraphviz", "preprocessCore", "genefilter", "pheatmap", "SSPA", "sva", "Rcpp", "pROC", "data.table", "limma", "car", "fitdistrplus", "lars", "Hmisc", "magrittr", "methods", "xtable", "pls", "caret", "lattice", "igraph", "gplots", "KEGGgraph", "reshape", "RColorBrewer", "tibble", "siggenes", "plotly")
list_installed <- installed.packages()
new_pkgs <- subset(metr_pkgs, !(metr_pkgs %in% list_installed[, "Package"]))

if(length(new_pkgs)!=0){
  source("https://bioconductor.org/biocLite.R")
  biocLite(new_pkgs, dependencies = TRUE, ask = FALSE)
  print(c(new_pkgs, " packages added..."))
}
if((length(new_pkgs)<1)){
  print("No new packages added...")
}

install.packages('rmarkdown')
install.packages("devtools")

devtools::install_github("xia-lab/MetaboAnalystR")
#devtools::install_github("xia-lab/MetaboAnalystR", build_vignettes=TRUE)