# # - env,回声= FALSE ---------------------------------------------------------- 图书馆(“BiocStyle ") ## ---- loadPkgs、消息= FALSE警告= FALSE ------------------------------- 库(pRolocGUI)图书馆(“pRolocdata ") ## ---- loadData回声= TRUE,消息= FALSE,警告= FALSE ------------------ 数据(hyperLOPIT2015) # #——例如,eval = FALSE,回声= TRUE --------------------------------------- # pRolocVis(对象= hyperLOPIT2015 fcol = "标记 ") ## ---- pca1 eval = FALSE,回声= TRUE ------------------------------------------ # pRolocVis(对象= hyperLOPIT2015 fcol = "标记 ") ## ---- 比较,eval = FALSE,回声= TRUE --------------------------------------- # 数据(hyperLOPIT2015ms3r1) #数据(hyperLOPIT2015ms3r2) # mydata < - MSnSetList(列表(hyperLOPIT2015ms3r1 hyperLOPIT2015ms3r2)) # pRolocVis (mydata,应用=“比较”,fcol = "标记 ") ## ---- compare2 eval = FALSE,回声= TRUE ------------------------------------------ # 数据(“hyperLOPITU2OS2018”)(“lopitdcU2OS2018”)# #数据xx < - MSnSetList(列表(hyperLOPITU2OS2018 lopitdcU2OS2018)) #如果(互动()){# pRolocVis (xx,应用=“比较”,fcol = c(“标记”、“final.assignment ")) # } ## ---- aggvar eval = FALSE,呼应= TRUE,消息= FALSE,警告= FALSE ------ # ## PSM数据加载数据(“hyperLOPIT2015ms2psm # ") # # ## 想象每个蛋白质组# pRolocVis的psm (hyperLOPIT2015ms2psm,应用=“聚合”,fcol =“标记”,# groupBy = " Protein.Group.Accessions ") ## ---- aggvar2 eval = FALSE,呼应= TRUE,消息= FALSE,警告= FALSE ----- # ## PSM数据结合肽# hl < - combineFeatures (hyperLOPIT2015ms2psm # groupBy = fData (hyperLOPIT2015ms2psm)序列,美元#方法=值)# # # #想象肽根据蛋白质组# pRolocVis (hyperLOPIT2015ms2psm应用=“聚合”,fcol =“标记”,# groupBy =“Protein.Group.Accessions”)