| preprocess_rnaseq_counts {autonomics} | R Documentation |
Preprocess RNAseq counts
preprocess_rnaseq_counts(
object,
subgroupvar = if ("subgroup" %in% svars(object)) "subgroup" else NULL,
formula = default_formula(object, subgroupvar, "limma"),
block = NULL,
min_count = 10,
pseudocount = 0.5,
genesize = NULL,
cpm = TRUE,
tmm = cpm,
voom = TRUE,
log2 = TRUE,
verbose = TRUE,
plot = TRUE
)
object |
SummarizedExperiment |
subgroupvar |
subgroup svar |
formula |
designmat formula |
block |
blocK svar |
min_count |
min count required in some samples |
pseudocount |
added pseudocount to avoid log(x)=-Inf |
genesize |
genesize fvar to compute tpm |
cpm |
whether to compute counts per million (scaled) reads |
tmm |
whether to tmm normalize |
voom |
whether to voom weight |
log2 |
whether to log2 |
verbose |
whether to msg |
plot |
whether to plot |
SummarizedExperiment
require(magrittr)
file <- download_data('billing19.rnacounts.txt')
object <- .read_rnaseq_counts(file)
object$subgroup
object %<>% preprocess_rnaseq_counts()