Open TZUwang opened 1 month ago
I have already finished
scenicOptions <- runSCENIC_1_coexNetwork2modules(scenicOptions) scenicOptions <- runSCENIC_2_createRegulons(scenicOptions, coexMethod=c("top5perTarget")) scenicOptions <- runSCENIC_3_scoreCells(scenicOptions, exprMat_log) scenicOptions <- runSCENIC_4_aucell_binarize(scenicOptions) tsneAUC(scenicOptions, aucType="AUC") [1] "int/tSNE_AUC_50pcs_30perpl.Rds"
scenicOptions <- runSCENIC_1_coexNetwork2modules(scenicOptions) scenicOptions <- runSCENIC_2_createRegulons(scenicOptions, coexMethod=c("top5perTarget")) scenicOptions <- runSCENIC_3_scoreCells(scenicOptions, exprMat_log) scenicOptions <- runSCENIC_4_aucell_binarize(scenicOptions)
tsneAUC(scenicOptions, aucType="AUC") [1] "int/tSNE_AUC_50pcs_30perpl.Rds"
This is the file I generated
str(aucellApp) List of 3 $ thresholds: Named num [1:40] 0.0224 0.0347 0.0524 0.0353 0.2378 ... ..- attr(*, "names")= chr [1:40] "E2f7 (39g)" "E2f8 (20g)" "Tfdp1 (11g)" "E2f1 (42g)" ... $ cells : list() $ server :function (input, output, session)
I don't know why i use
aucellApp <- plotTsne_AUCellApp(scenicOptions, exprMat_log) savedSelections <- shiny::runApp(aucellApp)
I have already finished
This is the file I generated
I don't know why i use