Closed mjsteinbaugh closed 6 years ago
Merging #113 into master will increase coverage by
12.51%
. The diff coverage is97.01%
.
@@ Coverage Diff @@
## master #113 +/- ##
===========================================
+ Coverage 85.72% 98.23% +12.51%
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Files 44 45 +1
Lines 2256 2272 +16
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+ Hits 1934 2232 +298
+ Misses 322 40 -282
Impacted Files | Coverage Δ | |
---|---|---|
R/topTables-methods.R | 100% <ø> (ø) |
|
R/aggregateReplicates-methods.R | 100% <ø> (ø) |
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R/tmm-methods.R | 100% <ø> (ø) |
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R/nonzeroGenes-internal.R | 100% <ø> (ø) |
|
R/alphaSummary-methods.R | 100% <ø> (ø) |
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R/plotDispEsts-methods.R | 100% <ø> (ø) |
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R/ggplot2-internal.R | 100% <ø> (ø) |
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R/plotMeanSD-methods.R | 100% <ø> (ø) |
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R/melt-internal.R | 100% <ø> (ø) |
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R/AllGenerics.R | 100% <ø> (ø) |
:arrow_up: |
... and 65 more |
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Major changes
transform = TRUE
argument to[
extraction method, allowing the user to skip automatic [DESeq2][] transformations, which can be CPU intensive for large datasets.plotMA()
instead ofplotMeanAverage()
. An MA-plot by definition is not a "Mean Average" plot, so this function name is misleading. We will keep theplotMeanAverage()
working but it is now soft deprecated.plotGeneSaturation()
now supportslabel
argument, similar toplotPCA()
.Minor changes
tximport()
call to handle transcript version mismatch with tx2gene data.frame. This can result if the bcbio pipeline is using an old genome build.genomeBuild
is detected from [AnnotationHub][]rowRangesMetadata
if applicable, and not leftNULL
in the metadata.aes()
instead ofaes_string()
, which uses [tidyeval][] and quasiquotation.plotGene()
: reduced the number ofreturn
options to simply "facet" and "wide". Previously, this also supported "grid", "list", and "markdown", but these were removed because they are not frequently used.plotGene()
: Switched back to internallapply()
call instead of usingBiocParallel::bplapply()
. This doesn't always work perfect in an HPC environment (e.g. HMS O2 cluster).plotMeanAverage()
in favor ofplotMA()
.