VariantSelection_TopCells — VariantSelection

We get variants of interest by selecting a small number of cells with a high VAF for a variant. This function is adapted from the Peter van Galen. Source: https://github.com/petervangalen/MAESTER-2021

Usage

VariantSelection_TopCells(
  SE,
  min_coverage = 2,
  quantiles = 0.9,
  thresholds = 0,
  top_cells = 10,
  top_VAF = 0.5,
  min_quality = NULL,
  remove_nocall = TRUE,
  verbose = TRUE
)

Arguments

SE: SummarizedExperiment object.
min_coverage: Minimum coverage needed.
quantiles: The lower and upper quantile you want to use.
thresholds: The VAF thresholds you want to use for the quantiles.
min_quality: The minimum quality you want for the Variants of Interest. Can be ignored by setting it to NULL.
remove_nocall: Should NoCall cells (consensus = 0) be disregarded during the analysis?
verbose: Should the function be verbose? Default = TRUE