runRUV_III_PRPS | R Documentation |
This function is a part of the data analysis functionality of tcgaCleaneR
. It captures both the uses PRPS values from library tcgaCleaneR
combined with row counts and run SVD algorithm (runSVD()
) from BiocSingular
on the combined dataset. The function uses RUV-I algorithm from ruv
as a pre-processing step to RUV-III.
runRUV_III_PRPS( ruv.data, ruv.rep, ncg.set, k = NULL, eta = NULL, include.intercept = TRUE, average = FALSE, fullalpha = NULL, return.info = FALSE, inputcheck = TRUE )
ruv.data |
S4 data object for RUV-III: A S4 data object with combined data including the row count from original filtered data using assay |
ruv.rep |
S4 data matrix for RUV-III: A S4 data object that has been generated using |
ncg.set |
logical object: Set of Negative Controlled genes. |
k |
Integer scalar specifying the number of unwanted factors to use. Default is NULL. Currently Value 1 represents the library size, 2 represents purity and 3 is time variation. |
eta |
Gene-wise (as opposed to sample-wise) covariates. A matrix with n columns for |
include.intercept |
Add an intercept term to eta if it does not include one already for |
average |
Default is False. |
fullalpha |
To perform RUV-III calculation. Default is NULL. |
return.info |
logical: Do you want all the information related to RUV-III object. False gives all information whereas True gives only the |
inputcheck |
logical: Check the inputs to identify if ruv.data contains missing values or infinite values. |
Based on the return.info we get either a S4 list will all information related to RUV-III object or just the RUV-III result.
## Not run: runRUV_III_PRPS(ruv.data = ruv.data, ruv.rep = ruv.rep, ncg.set = ncg.set, k=1, return.info = TRUE) ## End(Not run)
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