Weight sift — weight_sift • inferCSN

Remove edges with smaller weights in the reverse direction.

Usage

weight_sift(table)

Arguments

table: A data frame with three columns: "regulator", "target", and "weight".

Examples

data(example_matrix)
network_table <- inferCSN(example_matrix)
#> ℹ [2025-10-16 02:37:08] Running for <dense matrix>.
#> ◌ [2025-10-16 02:37:08] Checking input parameters...
#> ℹ [2025-10-16 02:37:08] Using `L0` sparse regression model
#> ℹ [2025-10-16 02:37:08] Using 1 core
#> ℹ [2025-10-16 02:37:08] Building results
#> ✔ [2025-10-16 02:37:08] Run done.
weight_sift(network_table) |> head()
#>   regulator target     weight
#> 1       g18     g1 -0.9223177
#> 2       g17    g18  0.8770468
#> 3        g4     g3  0.8103230
#> 4       g16    g15  0.7659245
#> 5       g17    g16  0.7558764
#> 6       g12    g11  0.7444053