Counts
Usage
counts(object, ...)
counts(object, ...) <- value
# S4 method for bcbioRNASeq
counts(object, normalized = FALSE)
Arguments
- object
Object.
- normalized
character(1)
orlogical(1)
. Normalization method to apply:FALSE
: Raw counts. When using a tximport-compatible caller, these are length scaled by default (seecountsFromAbundance
argument). When using a featureCounts-compatible caller, these areinteger
.
tximport caller-specific normalizations:
"tpm"
: Transcripts per million.
Additional gene-level-specific normalizations:
TRUE
/"sf"
: Size factor (i.e. library size) normalized counts.
SeeDESeq2::sizeFactors
for details."fpkm"
: Fragments per kilobase per million mapped fragments.
Requiresfast = FALSE
inbcbioRNASeq()
call and gene annotations inrowRanges()
with definedwidth()
.
SeeDESeq2::fpkm()
for details."vst"
: Variance-stabilizing transformation (log2).
Requiresfast = FALSE
to be set duringbcbioRNASeq()
call.
SeeDESeq2::varianceStabilizingTransformation()
for more information."tmm"
: Trimmed mean of M-values.
Calculated on the fly.
SeeedgeR::calcNormFactors()
for details."rle"
: Relative log expression transformation.
Calculated on the fly.
SeerelativeLogExpression()
for details."rlog"
: Deprecated. Regularized log transformation (log2).
No longer calculated automatically duringbcbioRNASeq()
call, but may be defined in legacy objects.
SeeDESeq2::rlog()
for details.
Note that VST is more performant and now recommended by default instead.
Note that
logical(1)
support only applies tocounts()
. Other functions in the package requirecharacter(1)
and usematch.arg()
internally.- ...
Additional arguments.
- value
Value to assign.
Details
By default, return the raw counts. Normalized counts in a variety of formats
can be accessed using the normalized
argument.
Examples
## bcbioRNASeq ====
data(bcb)
summary(counts(bcb))
#> control_rep1 control_rep2 control_rep3 fa_day7_rep1
#> Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.00
#> 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00
#> Median : 12.12 Median : 14.17 Median : 10.72 Median : 33.48
#> Mean : 176.59 Mean : 602.45 Mean : 161.05 Mean : 294.82
#> 3rd Qu.: 120.48 3rd Qu.: 419.69 3rd Qu.: 102.85 3rd Qu.: 302.74
#> Max. :2865.68 Max. :13680.79 Max. :2154.71 Max. :4227.90
#> fa_day7_rep2 fa_day7_rep3
#> Min. : 0.000 Min. : 0.000
#> 1st Qu.: 0.761 1st Qu.: 0.005
#> Median : 30.355 Median : 27.788
#> Mean : 262.722 Mean : 298.832
#> 3rd Qu.: 238.995 3rd Qu.: 215.032
#> Max. :5004.905 Max. :4540.914