TCGA和GTEX中基因的表达差异
library(UCSCXenaShiny)
vis_toil_TvsN_cancer(
Gene = "FERMT3",
Mode = "Violinplot",
Show.P.value = TRUE,
Show.P.label = TRUE,
Method = "wilcox.test",
values = c("#DF2020", "#DDDF21"),
TCGA.only = FALSE,
Cancer = "BRCA")
vis_toil_TvsN_cancer(
Gene = "RAC2",
Mode = "Violinplot",
Show.P.value = TRUE,
Show.P.label = TRUE,
Method = "wilcox.test",
values = c("#DF2020", "#DDDF21"),
TCGA.only = FALSE,
Cancer = "BRCA")
vis_toil_TvsN_cancer(
Gene = "PSTPIP1",
Mode = "Violinplot",
Show.P.value = TRUE,
Show.P.label = TRUE,
Method = "wilcox.test",
values = c("#DF2020", "#DDDF21"),
TCGA.only = FALSE,
Cancer = "BRCA")
data("immune_sig")##提取免疫相关的细胞对应的基因以及在TCGA中的表达
test<-immune_sig[1:100,1:10]
immunename<-immune_sig$SetName
intersect("APM1",immunename)
data("tmb_data")###肿瘤突变负荷数据
test<-tmb_data
#查看基因和免疫特征的热图
vis_gene_immune_cor(
Gene = "RAC2",
Cor_method = "spearman",
Immune_sig_type = "Cibersort"
)
##查看肿瘤突变负荷和基因的关系
vis_gene_tmb_cor(Gene = "RAC2", Cor_method = "spearman")
