View source: R/PerformBinTestAIAnalysisForTwoConditions_knownCC.R
PerformBinTestAIAnalysisForTwoConditions_knownCC | R Documentation |
Performs differential tests (with Bonferroni correction) for AI values for two conditions, for given QCC.
PerformBinTestAIAnalysisForTwoConditions_knownCC(
inDF,
vect1CondReps,
vect2CondReps,
vect1CondRepsCombsCC,
vect2CondRepsCombsCC,
Q = 0.95,
thr = NA,
thrUP = NA,
thrType = "each",
minDifference = NA
)
inDF |
Allele counts dataframe: with 2n+1 columns, "ID" and 2n columns with ref & alt counts (rep1_ref, rep1_alt, rep2_ref, rep2_alt, ...) |
vect1CondReps |
A vector (>=2) of replicate numbers that should be considered as first condition's tech reps |
vect2CondReps |
A vector (>=2) of replicate numbers that should be considered as second condition's tech reps |
vect1CondRepsCombsCC |
A vector of pairwise-computed correction constants for first condition's tech reps (QCC=1 is no correction) |
vect2CondRepsCombsCC |
A vector of pairwise-computed correction constants for second condition's tech reps (QCC=1 is no correction) |
Q |
Optional (default=0.95), confidence level, quantile |
thr |
Optional (default=NA), threshold on the overall number of counts for a gene to be considered in the analysis |
thrUP |
Optional (default=NA), threshold for max gene coverage (default = NA) |
thrType |
Optional (default = "each", also can be "average" for average coverage on replicates), threshold type |
minDifference |
Optional (default=NA), if specified, one additional column is added to the output (T/F depending if the gene changed AI expression more than minDifference in addition to passing the test) |
A table of gene names, AIs + CIs for both conditions, p-values for both non-corrected (BT..) and QCC corrected (BT_CC..) differential tests, classification into genes demonstrating signifficant difference (TRUE) of AI estimates in two conditions, and those that don't (FALSE).
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