Changelog
Source:NEWS.md
dreamlet 1.3.4
- Oct 27, 2024
- Better error reporting addressing https://github.com/GabrielHoffman/dreamlet/issues/25
dreamlet 1.3.3
- July 19, 2024
- fix in
.read_matrix_block()
- See https://github.com/GabrielHoffman/dreamlet/pull/23/commits/c453ac98ebc0329279b4dd3ae26a674df0e9b1f2
dreamlet 1.1.24
- May 28, 2024
-
dreamlet()
gives clearer error message for singular design matrix -
plotGeneHeatmap()
handleszmax
correctly now
dreamlet 1.1.21
- fix issue in
run_mash()
with multiple coefficients
dreamlet 1.1.20
- in
dreamlet()
allow formula to include only intercept
dreamlet 1.1.19
- bug fix in
compositePosteriorTest()
dreamlet 1.1.17
- new functionality in
plotPCA()
andoutlierByAssay()
- works on any
list
, not justdreamletProcessedData
- allows outlier analysis on residuals
dreamlet 1.1.16
- Feb 8, 2024
- fix bug in
pbWeights()
- Fix scaling issue in
outlierByAssay()
dreamlet 1.1.15
- Feb 5, 2024
- Fix bug in call to
eBayes()
- in
processAssays()
pass argumentscaledByLib
tovoomWithDreamWeights()
dreamlet 1.1.14
- Jan 29, 2024
- fix bug in
pbWeights()
- smaller pseudo variance
- limit to only expressed genes by adding
getExprGeneNames()
dreamlet 1.1.13
- Jan 25, 2024
- improve error reporting in
seeErrors()
and documentation - update
outlier()
to compute z-scores. How returnsdata.frame()
- add
outlierByAssay()
andplotPCA()
dreamlet 1.1.12
- Jan 16, 2024
-
compositePosteriorTest()
allowsexclude
set to beNULL
dreamlet 1.1.11
- Jan 16, 2024
- add
meta_analysis()
dreamlet 1.1.10
- Jan 10, 2024
-
stackAssays()
now includedsmetadata()$aggr_means
correctly - add
compositePosteriorTest()
dreamlet 1.1.9
- Jan 3, 2024
- use
get_metadata_aggr_means()
to extractaggr_means
when SCE is produced by cbind’ing
dreamlet 1.1.8
- Dec 18, 2023
- fix issue when no genes pass cutoffs
- fix issue with
aggr_means
inaggregateToPseudoBulk()
- fix bug when
rdf
is low for all genes
dreamlet 1.1.7
- Dec 10, 2023
- add
plotBeeswarm()
- add
rowWeightedVarsMatrix()
- bug fixes
- add
isFullRank()
check indreamlet()
- handle exceptions in
run_mash()
dreamlet 1.1.5
- Nov 28, 2023
- fix edge cases in
pbWeights()
- cell weights is not default in
dreamlet()
dreamlet 1.1.4
- Nov 27, 2023
- add
pbWeights()
to compute precision weights for pseudobulk counts - extend
extractData()
and include it in vignette
dreamlet 1.1.3
- Nov 22, 2023
- add
stackAssays()
- add
diffVar()
- fix
getVarFromCounts)
sozeta
is a mean, not a sum
dreamlet 1.1.2
- Nov 13, 2023
-
computeLogCPM()
usesaugmentPriorCount()
dreamlet 0.99.33
-
computeLogCPM()
now returnsmatrix
instead ofsparseMatrix
dreamlet 0.99.31
- Oct 12, 2023
- fix error reporting in
processAssays()
dreamlet 0.99.30
- Sept 22, 2023
- Fix issue with precision weights from cell number
- Include
setAutoBlockSize()
update withinaggregateToPseudoBulk()
dreamlet 0.99.28
- Sept 5, 2023
- Update error handling for
processAssays()
andfitVarPart()
dreamlet 0.99.22
- August 8, 2023
-
dreamletCompareClusters()
now allows cell-level covariates in response to https://github.com/GabrielHoffman/dreamlet/issues/11 - Fix code for Bioconductor submission
dreamlet 0.99.21
- July 17, 2023
- Improve functionality and documentation of
dreamlet::residuals()
dreamlet 0.99.20
- June 29, 2023
- in
processAssays()
usevoomWithDreamWeights(..., span="auto")
to estimate the lowess tuning parameter - rare error in
merge_metadata()
when a cell type is not observed for all donors.
dreamlet 0.99.19
- June 28, 2023
- in
dreamlet()
fix issue when contrasts are specified and formula includes variable frommetadata()
dreamlet 0.99.18
- June 27, 2023
- add
assays
argument tobuildClusterTreeFromPB()
dreamlet 0.99.14
- June 16, 2023
- bug fix in
processAssays()
when assays is dropped
dreamlet 0.99.13
- May 31, 2023
- improved error reporting
- Compatibility with variancePartition v2.0.5 (renamed 1.31.1)
dreamlet 0.99.12
- May 24, 2023
- required
zellkonverter (>= 1.10.1)
to avoid issues with previous version
dreamlet 0.99.10
- April 24, 2023
- Fix issue in raised in Bioconductor submission: https://github.com/Bioconductor/Contributions/issues/2955#issuecomment-1498070980
- Compatibility with variancePartition v2.0.0
dreamlet 0.99.6
- March 29, 2023
- fix
topTable()
fordreamletResult
in the case where one or more cells didn’t estimate the coefficient of interest
dreamlet 0.99.3
- March 23, 2023
- reduce compiler time
- add
computeNormCounts()
andcomputeLogCPM()
dreamlet 0.99.1
- March 20, 2023
- fix Biocondcutor submission based on https://github.com/Bioconductor/Contributions/issues/2955#issuecomment-1476037237
dreamlet 0.0.64
- March 7, 2023
- fix
topTable()
to deal with multiplecoef
as array - add vignette about non-linear effects
- Add
colData<-
fordreamletProcessedData
dreamlet 0.0.63
- March 3, 2023
- small bug fixes in
topTable()
andplotForest()
dreamlet 0.0.62
- Feb 27, 2023
-
aggregateToPseudoBulk()
stores mean of cell-level covariates inmetadata(pb)$aggr_means
- Use these covariates in
processAssays()
,dreamlet()
,fitVarPart()
- extend to
aggregateNonCountSignal()
dreamlet 0.0.61
- Jan 25, 2023
- add
plotProjection()
- add
outlier()
- update
plotForest()
dreamlet 0.0.59
- Jan 12, 2023
- update
plotVolcano()
to allowscales="free_y"
- warning when p-values are zero.
dreamlet 0.0.58
- Jan 9, 2023
- Rewrite
aggregateNonCountSignal()
to include filters - Depend only on CRAN and BioC packages
dreamlet 0.0.57
- Jan 4, 2023
- Include precision weights in
aggregateNonCountSignal()
dreamlet 0.0.56
- Jan 3, 2023
- Enable processing of non-count data with
aggregateNonCountSignal()
dreamlet 0.0.55
- Dec 7, 2022
- in
plotGeneHeatmap()
drop empty genes
dreamlet 0.0.54
- Nov 30, 2022
- add
buildClusterTreeFromPB()
dreamlet 0.0.52
- Nov 18, 2022
- add
as.dreamletResult()
- update
variancePartition
dependency and source
dreamlet 0.0.51
- Nov 10, 2022
- in
processAssays()
andprocessOneAssay()
, add argumentmin.prop
indicating the minimum proportion of retained samples with non-zero counts
dreamlet 0.0.49
- Oct 17, 2022
- add
computeCellCounts()
dreamlet 0.0.48
- Sept 14, 2022
- add
transpose
argument toplotGeneHeatmap()
- and
alpha
arugment toplotVoom()
- update y axis and outlines in
plotVarPart()
dreamlet 0.0.46
- add
totalCPM
column to output ofcellTypeSpecificity()
to use for filtering. Functionsdreamlet::plotHeatmap()
plotViolin()
andplotPercentBars()
now ignore this column
dreamlet 0.0.44
- add
plotGeneHeatmap()
- add argument
assays
toplotVarPart()
- add
extractData()
dreamlet 0.0.43
- faster
aggregateToPseudoBulk()
by speeding up check in.check_arg_assay()
- more flexibility for
tabToMatrix()
dreamlet 0.0.42
- fix misc issues with plotting and order of facets
- fix issue with redundant variables in small sample sizes
dreamlet 0.0.39
- fix issue with
aggregateToPseudoBulk()
when summarizing for just 1 sample
dreamlet 0.0.38
- add
getTreat()
fordreamlet()
result
dreamlet 0.0.37
-
droplevels
forcolData
inprocessAssays()
dreamlet 0.0.36
- fixes in
processAssays()
to detect issues with SCE
dreamlet 0.0.34
- bug fix for
aggregateToPseudoBulk()
with sample ordering
dreamlet 0.0.33
- bug fix for
dreamletCompareClusters()
dreamlet 0.0.31
- reduce memory usage in
aggregateToPseudoBulk()
by fixing `aggregateByColnames()
dreamlet 0.0.30
- update
run_mash()
to combine results across coefs
dreamlet 0.0.27
-
aggregateToPseudoBulk()
forDelayedArray
now usescolsum_fast()
- this is faster then the previous version for
DelayedArray
- this is faster then the previous version for
dreamlet 0.0.26
- update
dreamletCompareClusters()
:- now compatable with
plotZenithResults()
- include flag
errorsAsWarnings
. IfTRUE
warns and returns NULL.
- now compatable with
dreamlet 0.0.25
- change return value for
dreamletCompareClusters()
to be compatible withzenith_gsa()
- fix usage of
formula
indreamletCompareClusters()
dreamlet 0.0.24
- additional speed up
aggregateToPseudoBulk()
when a Seurat object is used- uses RcppEigen sparse matrix iterator
dreamlet 0.0.23
- dramatic speed up
aggregateToPseudoBulk()
when a Seurat object is used- uses RcppEigen
dreamlet 0.0.22
- Speed up
aggregateToPseudoBulk()
when a Seurat object is used
dreamlet 0.0.21
- Add
collapse=TRUE
todreamletCompareClusters()
dreamlet 0.0.20
- Fix bug in
dreamletCompareClusters()
dreamlet 0.0.19
- Fix bug in
dreamletCompareClusters()
dreamlet 0.0.18
- add
min.samples
toprocessAssays()
,processOneAssay()
- add
dreamletCompareClusters()
andrun_mash()
- Fix bug in
dreamletCompareClusters()
- updated
mashr
dependency
dreamlet 0.0.17
- add
run_mash()
- add
zenith_gsa()
,plotVolcano()
,plotForest()
for results
- add
- fix bug in
cellTypeSpecificity()
for genes with zero reads across all cell types - order of arguments in
plotForest()
andzenith_gsa()
changed for consistancy - expand vignettes
- bug fix for
removeConstantTerms()
when excluded variable string (i.e. tissue) is also a substring of other variables (i.e. tissueStatus)
dreamlet 0.0.16
- add
residuals()
fordreamlet()
result - add
dreamletPairs()
- fix bug in
removeConstantTerms()
with multiple constant terms - improve usability of
cellTypeSpecificity()
by addingplotPercentBars()
andplotViolin()
compatability - fix bug in
topTable()
whencoef
is not estimated - add argument
assays
todreamlet()
,fitVarPart()
, andprocessAssays()
dreamlet 0.0.15
-
processOneAssay()
weights by number of cells - require
variancePartition >= 1.25.1
to handle weights invoomWithDreamWeights()
- fix bug in
topTable()
- add
plotPercentBars()
for classvpDF
- misc bug fixes
- improve documentation
dreamlet 0.0.12
- Oct 15, 2021
- update print for
dreamletResult
usingcoefNames()
- small bug fix
- fix bugs in
regModel()
dreamlet 0.0.11
- Oct 6, 2021
-
removeConstantTerms()
now doesn’t drop terms solely because of NA’s- this means that other functions can gracefully warn the user about NA’s
dreamlet 0.0.10
Oct 5, 2021
suppress package startup messages in
aggregateToPseudoBulk()
bug fix in
removeConstantTerms()
Sept 30, 2021
call to
zenith_gsa()
adds argumentinter.gene.cor
andprogressbar
fix output to
cellTypeCompositionVarPart()
andcellTypeCompositionTest()
fix issue with
topTable()
where FDR was evaluated on only a subset of genes
dreamlet 0.0.8
- Sept 28, 2021
- update docs, logos, TODO
- update
dreamlet()
to handle linear contrasts -
removeConstantTerms()
now drops categorical variables with only a max of one example per category - Cleaner code for cell composition test
dreamlet 0.0.5
- August 25, 2021
- handling of pmetadata by processAssays(), fitVarPart(), and dreamlet()
- change defaults for bpparam to SerialParam()
- Created new files for code
- Create object dreamletResult returned by dreamlet() and used by topTable()
- more capable dreamletProcessedData object
- add details() functions for dreamletResult, dreamletProcessedData and vpDF
- More information about when terms are dropped from formulas
- type definition to zenith_gsa
dreamlet 0.0.4
- add aggregateToPseudoBulk() for faster access to SingleCellExperiment() backed by H5AD
dreamlet 0.0.3
- add argument to
processAssays()
to include extra meta-data - add subseting with assay() for dreamletProcessedData
- adapt plotVoom(), plotVolcano(), plotVarPart() to be more flexiable
- fitVarPart() returns DataFrame