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NEWS
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NEWS
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Changes in version 1.9.3
+ bug fix in pbDS(): drop samples w/o any detected features,
otherwise edgeR::calcNormFactors() fails when lib.size 0
Changes in version 1.8.1
+ bug fix in prepSim(): removal of genes with NA coefficients
was previously not propagated to the dispersion estimates
+ bug fix in test-resDR.R: set 'min_cells = 0' to assure that
everything is being tested, otherwise unit tests could fail
Changes in version 1.8.0
+ Bioconductor 3.14 release
Changes in version 1.7.2
+ bug fix in prepSim(): removal of NA coefficients and
subsetting of the input SCE was previously out of synch
Changes in version 1.5.2
+ added edgeR::calcNormFactors() step in prepSim()
+ added argument 'dd' to simData() specifying
whether or not to simulate 2 groups
+ prepSim() and simData() now support simulation of "singular" design
(no samples, no clusters), as well as only samples/clusters
+ simData() defaults to simulating as many samples as available
in order to avoid re-use (duplication) of reference samples
Changes in version 1.5.1
+ significant speed-up of aggregateData() by replacing usage
of rowX() over a list with scuttle::summarizeAssayByGroup()
+ added options use "prop.detected" and "num.detected"
as summary statistic (argument 'fun') in aggregateData()
+ added parallelization support in aggregateData() and pbDS() through argument BBPARAM
(passed to scater::sumCountsAcrossCells() and BiocParallel::bplapply, respectively)
+ aggregateData() now stores the number of cells that went into aggregation under
int_colData(.)$n_cells (vs. metadata(.)$n_cells) to support automated subsetting
+ replaced argument n_threads with BPPARAM throughout all
parallelizable functions (aggregateData(), pbDS(), mmDS())
+ bug fix in prepSim(): the function previously failed when
cluster/sample/group_id cell metadata columns were non-factors
+ bug fix in resDS(): cpm = TRUE previously didn't handle
missing cluster-sample combinations correctly