变异以从 R 中的字符串中删除所有括号(和内容)

Mutate to remove all parenthesis (and contents) from string in R

我正在尝试使用 mutate/str_replace 通过删除括号(包括内容)从“Class”生成“表型”,但需要一些有关正则表达式的帮助? 然后我还想对“表型”字符串中的文本重新排序,以便按 PanCK>PD-L1>CD8>FoxP3>PD-1>CD68 的顺序显示文本。 为非标准数据集道歉! 非常感谢!

test<- data.frame(Class = c("FoxP3 (Opal 570): PanCK (Opal 690): PD-1 (Opal 620): CD68 (Opal 780)"
, "CD8 (Opal 480): PanCK (Opal 690): CD68 (Opal 780): PD-L1 (Opal 520)", "PanCK (Opal 690): CD68 (Opal 780)", 
"FoxP3 (Opal 570): PanCK (Opal 690)"))

我遇到的问题

test.output<- test %>% mutate(Phenotype = str_replace(Class, "\([^()]{0,}\)", ""))

期望的输出:

test.output <- data.frame(Class = c("FoxP3 (Opal 570): PanCK (Opal 690): PD-1 (Opal 620): CD68 (Opal 780)"
                                    , "CD8 (Opal 480): PanCK (Opal 690): CD68 (Opal 780): PD-L1 (Opal 520)", 
                                    "PanCK (Opal 690): CD68 (Opal 780)", "FoxP3 (Opal 570): PanCK (Opal 690)"), 
                          Phenotype = c("FoxP3:PanCK:PD-1:CD68", "CD8:PanCK:CD68:PD-L1", 
                                        "PanCK:CD68", "CD8:PanCK:CD68:PD-L1"))

然后重新排序为 PanCK>PD-L1>CD8>FoxP3>PD-1>CD68

ordered.output<- data.frame(Class = c("FoxP3 (Opal 570): PanCK (Opal 690): PD-1 (Opal 620): CD68 (Opal 780)"
                                            , "CD8 (Opal 480): PanCK (Opal 690): CD68 (Opal 780): PD-L1 (Opal 520)", 
                                            "PanCK (Opal 690): CD68 (Opal 780)", "FoxP3 (Opal 570): PanCK (Opal 690)"), 
                                  Phenotype = c("FoxP3:PanCK:PD-1:CD68", "CD8:PanCK:CD68:PD-L1", 
                                                "PanCK:CD68", "CD8:PanCK:CD68:PD-L1"),
                                  Phenotype_Ordered = c("PanCK:FoxP3:PD-1:CD68", "PanCK:PD-L1:CD8:CD68",
                                                        "PanCK:CD68","PanCk:PD-L1:CD8:CD68"))

这个有用吗:

st <- c('PanCK','PD-L1','CD8','FoxP3','PD-1','CD68')
test %>% 
mutate(Phenotype = str_remove_all(Class, '\s\(Opal [0-9]{3}\)')) %>% 
mutate(Phenotype = str_remove_all(Phenotype, '(\s)')) %>% 
mutate(Phenotype_Ordered = str_split(Phenotype, ':')) %>% unnest(Phenotype_Ordered) %>% 
group_by(Class) %>% arrange(factor(Phenotype_Ordered, levels = st)) %>% 
mutate(Phenotype_Ordered = paste(Phenotype_Ordered, collapse = ':')) %>% distinct()
# A tibble: 4 x 3
# Groups:   Class [4]
  Class                                                                Phenotype             Phenotype_Ordered    
  <chr>                                                                <chr>                 <chr>                
1 FoxP3 (Opal 570): PanCK (Opal 690): PD-1 (Opal 620): CD68 (Opal 780) FoxP3:PanCK:PD-1:CD68 PanCK:FoxP3:PD-1:CD68
2 CD8 (Opal 480): PanCK (Opal 690): CD68 (Opal 780): PD-L1 (Opal 520)  CD8:PanCK:CD68:PD-L1  PanCK:PD-L1:CD8:CD68 
3 PanCK (Opal 690): CD68 (Opal 780)                                    PanCK:CD68            PanCK:CD68           
4 FoxP3 (Opal 570): PanCK (Opal 690)                                   FoxP3:PanCK           PanCK:FoxP3   

另一个技巧是:

my_order <- c("CD68", "PD-1", "FoxP3", "CD8", "PD-L1", "PanCK")
test %>% 
  mutate(prototype = gsub('\s*[(][^)]+[)]','',Class),
         ordered = map_chr(strsplit(prototype, '\s*:\s*'),
                      ~str_c(sort(ordered(.x,my_order), decreasing = TRUE), collapse = ":")))
                                                                 Class                prototype               ordered
1 FoxP3 (Opal 570): PanCK (Opal 690): PD-1 (Opal 620): CD68 (Opal 780) FoxP3: PanCK: PD-1: CD68 PanCK:FoxP3:PD-1:CD68
2  CD8 (Opal 480): PanCK (Opal 690): CD68 (Opal 780): PD-L1 (Opal 520)  CD8: PanCK: CD68: PD-L1  PanCK:PD-L1:CD8:CD68
3                                    PanCK (Opal 690): CD68 (Opal 780)              PanCK: CD68            PanCK:CD68
4                                   FoxP3 (Opal 570): PanCK (Opal 690)             FoxP3: PanCK           PanCK:FoxP3