Left join datasets
tbls to join. (See dplyr)
tbls to join. (See dplyr)
A character vector of variables to join by. (See dplyr)
If x and y are not from the same data source, and copy is TRUE, then y will be copied into the same src as x. (See dplyr)
If there are non-joined duplicate variables in x and y, these suffixes will be added to the output to disambiguate them. Should be a character vector of length 2. (See dplyr)
Data frames to combine (See dplyr)
A tt object
annotation = tidybulk::se_mini |> tidybulk() |> as_tibble() |> distinct(.sample) |> mutate(source = "AU")
tidybulk::se_mini |> tidybulk() |> as_tibble() |> left_join(annotation)
#> Joining with `by = join_by(.sample)`
#> # A tibble: 2,635 × 10
#> .feature .sample count Cell.type time condition days dead entrez source
#> <chr> <chr> <dbl> <chr> <chr> <lgl> <dbl> <dbl> <chr> <chr>
#> 1 ABCB4 SRR1740034 1035 b_cell 0 d TRUE 1 1 5244 AU
#> 2 ABCB9 SRR1740034 45 b_cell 0 d TRUE 1 1 23457 AU
#> 3 ACAP1 SRR1740034 7151 b_cell 0 d TRUE 1 1 9744 AU
#> 4 ACHE SRR1740034 2 b_cell 0 d TRUE 1 1 43 AU
#> 5 ACP5 SRR1740034 2278 b_cell 0 d TRUE 1 1 54 AU
#> 6 ADAM28 SRR1740034 11156 b_cell 0 d TRUE 1 1 10863 AU
#> 7 ADAMDEC1 SRR1740034 72 b_cell 0 d TRUE 1 1 27299 AU
#> 8 ADAMTS3 SRR1740034 0 b_cell 0 d TRUE 1 1 9508 AU
#> 9 ADRB2 SRR1740034 298 b_cell 0 d TRUE 1 1 154 AU
#> 10 AIF1 SRR1740034 8 b_cell 0 d TRUE 1 1 199 AU
#> # ℹ 2,625 more rows