determine outliers — determine_outliers • visualizationQualityControl

determine outliers

Usage

determine_outliers(
  median_correlations = NULL,
  outlier_fraction = NULL,
  cor_weight = 1,
  frac_weight = 1,
  only_high = TRUE
)

Arguments

median_correlations: median correlations
outlier_fraction: outlier fractions
cor_weight: how much weight for the correlation score?
frac_weight: how much weight for the outlier fraction?
only_high: should only things at the low end of score be removed?

Value

data.frame

Details

For outlier sample detection, one should first generate median correlations using `median_correlations`, and outlier fractions using `outlier_fraction`. If you only have one or the other, than you should use named arguments to only pass the one or the other.

Alternatively, you can change the weighting used for median correlations or outlier fraction, including setting them to 0.