@@ -428,7 +428,7 @@ Fig_8A = PR_Data %>% ggpaired(cond1 = "METASPACE-ML", cond2 = "MSM",
428428 legend.title = element_blank(),
429429 strip.text = element_text(size = 20 ),
430430 strip.background = element_rect(fill = " white" )) +
431- stat_compare_means(aes(group = condition ), label = " p.signif " ,paired = F ,
431+ stat_compare_means(aes(group = condition ), label = " p.format " ,paired = F ,
432432 size = 8 , label.x.npc = " center" , label.y.npc = 0.95 ) +
433433 theme(legend.position = " none" )
434434
@@ -460,7 +460,7 @@ TPR = round((Fig_8C_data[1,1] / sum(Fig_8C_data[,1])),2) * 100
460460dimnames( Fig_8C_data ) <- list (`METASPACE-ML` = c(" Predicted" , " Not predicted" ),
461461 `LC-MS/MS` = c(" Found" , " Not found" ))
462462fourfoldplot(Fig_8C_data ,
463- color = c(" #B22222 " , " #2E8B57 " ),
463+ color = c(" #1E90FF " , " #FF8C00 " ),
464464 main = paste0(" TPR : " ,TPR ," %" ),
465465 conf.level = 0 , std = " all.max" ,space = 0.2 ) +
466466 text(- 0.2 ,0.2 , " TP" , cex = 1.5 ) +
@@ -479,7 +479,7 @@ TPR = round((Fig_8D_data[1,1] / sum(Fig_8D_data[,1])),2) * 100
479479dimnames( Fig_8D_data ) <- list (`METASPACE-ML_only` = c(" Predicted" , " Not predicted" ),
480480 `LC-MS/MS` = c(" Found" , " Not found" ))
481481fourfoldplot(Fig_8D_data ,
482- color = c(" #B22222 " , " #2E8B57 " ),
482+ color = c(" #1E90FF " , " #FF8C00 " ),
483483 main = paste0(" TPR : " ,TPR ," %" ),
484484 conf.level = 0 , std = " all.max" ,space = 0.2 ) +
485485 text(- 0.2 ,0.2 , " TP" , cex = 1.5 ) +
@@ -497,7 +497,7 @@ TPR = round((Fig_8E_data[1,1] / sum(Fig_8E_data[,1])),2) * 100
497497dimnames( Fig_8E_data ) <- list (`MSM_only` = c(" Predicted" , " Not predicted" ),
498498 `LC-MS/MS` = c(" Found" , " Not found" ))
499499fourfoldplot(Fig_8E_data ,
500- color = c(" #B22222 " , " #2E8B57 " ),
500+ color = c(" #1E90FF " , " #FF8C00 " ),
501501 main = paste0(" TPR : " ,TPR ," %" ),
502502 conf.level = 0 , std = " all.max" ,space = 0.2 ) +
503503 text(- 0.2 ,0.2 , " TP" , cex = 1.5 ) +
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