# #——knitrSetup,包括= FALSE ------------------------------------------------ 库(knitr) opts_chunk美元集(out.extra = '风格= "显示:块;保证金:汽车“fig.align =“中心”,整洁= TRUE, eval = FALSE) # #——安装,eval = FALSE ------------------------------------------------------ # 如果(!requireNamespace(“BiocManager”,悄悄地= TRUE)) # install.packages (BiocManager) # BiocManager::安装(“rcellminer”)# BiocManager::安装(“rcellminerData ") ## ---- loadLibrary、消息= FALSE警告= FALSE -------------------------------- # 库(rcellminer) #库(rcellminerData) # #——searchHelp eval = FALSE,整洁= FALSE --------------------------------------- # help.search(“rcellminerData ") ## ---- getDataHelp eval = FALSE,整洁= FALSE -------------------------------------- # 帮助(drugData) #(“molData ") ## ----------------------------------------------------------------------------- # # 得到MolData对象中的数据类型的特性。# (getAllFeatureData (molData名字 )) ## ----------------------------------------------------------------------------- # 类(molData[["实验"]])# # geneExpMat < exprs (molData[[”实验 "]]) ## ----------------------------------------------------------------------------- # getSampleData (molData) [1:10,“TissueType "] ## ----------------------------------------------------------------------------- # # 添加数据# molData[[“测试”]]< - molData[[“pro”]](getAllFeatureData (molData # #的名字 )) ## ----------------------------------------------------------------------------- # drugActMat < - exprs (getAct (drugData) #暗(drugActMat) # # drugRepeatActMat < - exprs (getRepeatAct (drugData)) #暗(drugRepeatActMat ) ## ----------------------------------------------------------------------------- # drugAnnotDf < -as(featureData(getAct(drugData)), "data.frame") # # colnames(drugAnnotDf) ## ----------------------------------------------------------------------------- # identical(getSampleData(molData), getSampleData(drugData)) ## ----sessionInfo, eval=TRUE--------------------------------------------------- sessionInfo()