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Transcription factor effects from RegNetwork

Usage

regnetwork_directions(organism = "human")

Arguments

organism

Character: either human or mouse.

Value

A data frame (tibble) of TF-target interactions with effect signs.

Examples

regn_dir <- regnetwork_directions()
regn_dir
#> # A tibble: 3,954 × 5
#>    source_genesymbol source_entrez target_genesymbol target_entrez effect
#>    <chr>             <chr>         <chr>             <chr>          <dbl>
#>  1 AHR               196           CDKN1B            1027               1
#>  2 APLNR             187           PIK3C3            5289               1
#>  3 APLNR             187           PIK3R4            30849              1
#>  4 AR                367           KLK3              354                1
#>  5 ARNT              405           ALDOA             226                1
#>  6 ARNT              405           ANGPT1            284                1
#>  7 ARNT              405           ANGPT2            285                1
#>  8 ARNT              405           ANGPT4            51378              1
#>  9 ARNT              405           BCL2              596                1
#> 10 ARNT              405           CDKN1A            1026               1
#> # ℹ 3,944 more rows
# # A tibble: 3,954 x 5
#    source_genesymb. source_entrez target_genesymb. target_entrez
#    <chr>            <chr>         <chr>            <chr>
#  1 AHR              196           CDKN1B           1027
#  2 APLNR            187           PIK3C3           5289
#  3 APLNR            187           PIK3R4           30849
#  4 AR               367           KLK3             354
#  5 ARNT             405           ALDOA            226
# # . with 3,944 more rows, and 1 more variable: effect <dbl>