Add guideRNA combinations to guideSet object.

Finds the optimal combination of non-redundant guideRNAs.

addCombinations(guideSet, max_guides = 5, greedy = TRUE,
  iterations = 10, alpha = 100, force = FALSE)

Arguments

max_guides	Numeric. Maximum number of distinct guides to consider when calculating combinations. Do not use a higher number than experimentally feasible.
greedy	Logical. If TRUE (the default), performs an additional greedy search optimization for selected guide combinations.
iterations	Integer > 0. Number of greedy search iterations (10 by default).
alpha	Numeric. Off-target score coefficient. Large alpha penalizes combinations with high off-target score while alpha = 0 ignores off-targets and picks combinations with highest on-target binding. Defaults to 10.
force	Logical. If TRUE, overwrites existing combinations.
guideSet.	guideSet object containing guides.
method	String. Method of how to pick the best guideRNA per cluster.
coeff	Integer. If method is regression, coeff modifies the slope of the linear regression.

Value

Returns a guideSet object contaning combinations.

See also

plotCombinations(), createGuideSet(), addTargets(), and addGuides()

Examples

# NOT RUN {
gs <- createGuideSet(Hsapiens, tes = te_annotation_df)
gs <- addTargets(gs, targets = 'LTR13A')
gs <- addGuides(gs, guide_length = 16)
gs <- addCombinations(gs, max_guides = 8)
gs <- plotCombinations(gs)
# }