View source: R/cycler_fuctions.R
find_depleted_features | R Documentation |
CircRNA feature selection
find_depleted_features(circ_fc_adj, sample_table, circ_sg, test = "DEX")
circ_fc_adj |
count matrix corresponding to the circRNA features |
sample_table |
sample table formatted according to the manual, Must contain “sample_name” “treatment” “file_bam” “lib_size” “read_len”; NB the values in column “treatment” can only be “control” and “enriched” |
circ_sg |
|
test |
either “DEX” for DEXSeq based feature selection or “comparison” simple average comaparison |
This function works in 2 ways: direct comparison of average quantities or as a wrapper of DEXSeq. In case of dataset with replicates, the suggested approach is the use of DEXSeq statistical test.
vector of featureID
Stefan Stefanov
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