This function is used to improve the quality of the hits. It compute the variance among the hits and filter the one with a value greater than the threshold set
Arguments
- screenR_Object
The ScreenR object obtained using the
create_screenr_object
- genes
The genes for which the variance as to be computed. Those genes are the result of the three statistical methods selection
- matrix_model
a matrix created using
model.matrix
- variance
The maximum value of variance accepted
- contrast
The variable to use as X for the linear model for the Treatment
Examples
object <- get0("object", envir = asNamespace("ScreenR"))
matrix_model <- model.matrix(~ slot(object, "groups"))
colnames(matrix_model) <- c("Control", "T1_T2", "Treated")
contrast <- limma::makeContrasts(Treated - Control, levels = matrix_model)
data <- filter_by_variance(
screenR_Object = object, genes = c("Gene_42"),
matrix_model = matrix_model, contrast = contrast
)
head(data)
#> # A tibble: 6 × 10
#> Barcode Gene Sample Frequency Sequence Library Gene_ID Day Treatment
#> <fct> <chr> <fct> <dbl> <lgl> <lgl> <lgl> <chr> <chr>
#> 1 12937 Gene_42 T1 471. NA NA NA T1 T1
#> 2 12937 Gene_42 T2 406. NA NA NA T2 T2
#> 3 12937 Gene_42 Time3_TRT_A 365. NA NA NA Time3 TRT
#> 4 12937 Gene_42 Time3_TRT_B 448. NA NA NA Time3 TRT
#> 5 12937 Gene_42 Time3_TRT_C 394. NA NA NA Time3 TRT
#> 6 12937 Gene_42 Time3_A 459. NA NA NA Time3 Time3
#> # ℹ 1 more variable: Variance <dbl>