Table of Genes in a long format
convert_to_long.RdTransformation of a gene expression matrix into a 3 column table.
Examples
data("data_two")
my_data_two
#> # A tibble: 49 × 7,130
#> value gene_1 gene_2 gene_3 gene_4 gene_5 gene_6 gene_7 gene_8 gene_9
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 -0.204 -0.788 0.657 1.69 -0.867 -0.419 -0.867 -0.298 1.58
#> 2 1 -0.155 -0.830 -0.159 -0.830 -0.830 -0.830 -0.830 -0.830 -0.526
#> 3 1 0.539 -0.849 0.661 1.16 -0.849 -0.849 -0.849 -0.628 0.0564
#> 4 1 -0.251 -0.820 1.50 1.95 -0.820 -0.820 -0.820 -0.796 1.23
#> 5 1 0.0784 -0.828 0.839 1.61 -0.553 -0.116 -0.828 -0.828 0.934
#> 6 1 -0.170 -0.788 1.44 0.836 -0.788 -0.788 -0.788 -0.788 -0.170
#> 7 0 0.478 0.727 0.462 1.11 -0.318 0.583 -0.888 0.849 0.811
#> 8 0 1.27 0.647 1.14 1.40 -0.746 -0.944 -0.944 0.555 0.960
#> 9 0 -0.0352 -0.851 -0.851 0.128 -0.851 -0.851 -0.851 -0.851 -0.159
#> 10 0 0.246 -0.855 0.118 1.01 -0.855 -0.855 -0.855 -0.855 -0.282
#> # … with 39 more rows, and 7,120 more variables: gene_10 <dbl>, gene_11 <dbl>,
#> # gene_12 <dbl>, gene_13 <dbl>, gene_14 <dbl>, gene_15 <dbl>, gene_16 <dbl>,
#> # gene_17 <dbl>, gene_18 <dbl>, gene_19 <dbl>, gene_20 <dbl>, gene_21 <dbl>,
#> # gene_22 <dbl>, gene_23 <dbl>, gene_24 <dbl>, gene_25 <dbl>, gene_26 <dbl>,
#> # gene_27 <dbl>, gene_28 <dbl>, gene_29 <dbl>, gene_30 <dbl>, gene_31 <dbl>,
#> # gene_32 <dbl>, gene_33 <dbl>, gene_34 <dbl>, gene_35 <dbl>, gene_36 <dbl>,
#> # gene_37 <dbl>, gene_38 <dbl>, gene_39 <dbl>, gene_40 <dbl>, …
my_long_data <- convert_to_long(my_data_two)
my_long_data
#> # A tibble: 349,321 × 3
#> value Gene expression_level
#> <dbl> <chr> <dbl>
#> 1 1 gene_1 -0.204
#> 2 1 gene_2 -0.788
#> 3 1 gene_3 0.657
#> 4 1 gene_4 1.69
#> 5 1 gene_5 -0.867
#> 6 1 gene_6 -0.419
#> 7 1 gene_7 -0.867
#> 8 1 gene_8 -0.298
#> 9 1 gene_9 1.58
#> 10 1 gene_10 1.48
#> # … with 349,311 more rows