## ---- echo = false，结果=“隐藏”，警告= false -----------------------------------------------------------------------------------------------------------------------------------suppresspackagestArtupMessages（{library（'HighThroughputAssays'）}）## -------- echo = false，结果=“ hide”，警告= false ---------------------------------------------------------------------------------------------------抑制PackagestArtupMessages（库（FlowCore））uspressPackagestArtupMessages（库（flowStats））suppresspackagestArtupMessages（library（flowworkspace））suppresspackagestartupmessages（library（ggcyto）suppresspackAgeStartupMessages（library（ggcyto））---------------------------------------------------------------------------------------------------------------------------- ##加载软件包库（FlowCore）库（FlowStats）库（FlowWorkspace）库（GGCYTO）库（秤）##加载数据（ITN）ITN ## ----------------------------------------------------------------------------------------------------------------------------------------- ##创建一个工作流程实例，并使用Asinh GS转换数据<-gatingset（itn）trans.obj <-trans_new（“ myasinh”，transform = asinh，inverse = sinh）tl < - transformerList（colnames（itn）[3：7]，trans.obj）gs gs < - transform（gs gs），，，，TL）## ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ##识别T细胞人群LG <-lymphgate（GS_CYTO_DATA（GS），频道=C（“ CD3”，“ SSC”），Preselection =“ CD4”，FilterID =“ Tcells”，scale = 2.5）gs_pop_add（gs，lg）重新计算（GS）ggcyto（gs）（gs，aes，aes（x = cd3，y = ssc，y = ssc）） + geom_hex（bins = 32） + geom_gate（“ tcells”）## ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------＃if（！“ Biocmanager”％rownames（installed.packages())) # install.packages("BiocManager") # BiocManager::install("flowCore") ## ----eval=FALSE--------------------------------------------------------------- # library("flowCore") ## ----eval=FALSE--------------------------------------------------------------- # browseVignettes(package="flowCore") ## ----eval=FALSE--------------------------------------------------------------- # help.start() ## ----------------------------------------------------------------------------- sessionInfo()