View source: R/normalize_batch.R
my_isva | R Documentation |
Thus I copy/pasted the function and attempted to address them here.
my_isva(
data.m,
pheno.v,
cf.m = NULL,
factor.log = FALSE,
pvthCF = 0.01,
th = 0.05,
ncomp = NULL,
icamethod = "fastICA"
)
data.m |
Input matrix. |
pheno.v |
Vector of conditions of interest in the data. |
cf.m |
Matrix of confounded conditions in the data. |
factor.log |
I forget. |
pvthCF |
Minimal p-value for considering. |
th |
threshold for inclusion. |
ncomp |
Number of SVA components to estimate. |
icamethod |
Which ICA implementation to use? |
[isva]
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