Title Find Z-score Hit
Arguments
- table_treate_vs_control
table computed with the function
compute_data_table- number_barcode
Number of barcode that as to be differentially expressed (DE)in order to consider the gene associated DE. Example a gene is associated with 10 shRNA we consider a gene DE if it has at least number_barcode = 5 shRNA DE.
- metric
A string containing the metric to use. The value allowed are "median" or "mean".
Examples
object <- get0("object", envir = asNamespace("ScreenR"))
table <- compute_metrics(object,
control = "TRT", treatment = "Time3",
day = "Time3"
)
# For the the median
result <- find_zscore_hit(table, number_barcode = 6)
head(result)
#> # A tibble: 6 × 2
#> Gene numberOfBarcode
#> <chr> <int>
#> 1 Gene_102 8
#> 2 Gene_115 7
#> 3 Gene_117 7
#> 4 Gene_124 7
#> 5 Gene_129 7
#> 6 Gene_13 7
# For the mean
result <- find_zscore_hit(table, number_barcode = 6, metric = "mean")
#> Warning: Returning more (or less) than 1 row per `summarise()` group was deprecated in
#> dplyr 1.1.0.
#> ℹ Please use `reframe()` instead.
#> ℹ When switching from `summarise()` to `reframe()`, remember that `reframe()`
#> always returns an ungrouped data frame and adjust accordingly.
#> ℹ The deprecated feature was likely used in the ScreenR package.
#> Please report the issue at <https://github.com/EmanuelSoda/ScreenR/issues>.
head(result)
#> # A tibble: 6 × 2
#> Gene numberOfBarcode
#> <chr> <int>
#> 1 Gene_102 8
#> 2 Gene_102 8
#> 3 Gene_102 8
#> 4 Gene_102 8
#> 5 Gene_102 8
#> 6 Gene_102 8