Seurat 5.1.0 (2024-05-08)
Changes
- Updated interactive
SpatialDimPlot
s to display spatial coordinates
- Updated
BuildClusterTree
to PseudobulkExpression(..., method = "aggregate")
instead of AverageExpression
- Fixed
SpatialPlot
to properly handle images with shared cells
- Added
cluster.name
parameter to BuildNicheAssay
- Added
VisiumV2
class, inherits SeuratObject::FOV
, returned by Load10X_Spatial
- Updated
Load10X_Spatial
to support loading Visium HD datasets - added bin.size
parameter
- Updated
Read10X_Coordinates
to handle new tissue_coordinates.parquet
files
- Added
shape
parameter to SpatialPlot
and wrappers: SpatialFeaturePlot
and SpatialDimPlot
- Added
image.scale
parameter to SpatialPlot
and related functions: SpatialFeaturePlot
/ISpatialFeaturePlot
and SpatialDimPlot
/ISpatialDimPlot
- Restored
image.name
parameter to Read10X_Image
- Added
scale
parameter to Radius.VisiumV1
- Fixed calculation of
spot.radius
attribute for VisiumV1
instance returned by Read10X_Image
— replace scale.factors$fiducial
with scale.factors$spot
- Added
Read10X_Coordinates
and Read10X_ScaleFactors
- Fixed
SpatialPlot
to properly handle mutli-assay Seurat
instances
Seurat 5.0.3 (2024-03-18)
Changes
- Fixed
PercentAbove
to discount null values (#8412)
- Added
log
parameter to FeatureScatter
- Fixed handling of
clip.range
for SCTransform
when ncells
is less than the size of the passed dataset
Seurat 5.0.2 (2024-02-28)
Changes
- Fixed
AverageExpression
to handle features
vector when layer="scale.data"
and return.seurat=TRUE
- Added
fc.slot
parameter to FindMarkers
- Fixed
SCTransform
to handle vars.to.regress
(#8148) and (#8349)
- Fixed
SCTransform
to handle fetching residuals (#8185)
Seurat 5.0.1 (2023-11-16)
Changes
- Fixed
SCTransform.StdAssay
to pass extra arguments to sctransform::vst()
. Fixes #875
- Fixed PercentageFeatureSet Layer calling (#8009)
- Fixed cell highlighting (#7914)
- Updated marker sorting to be by p-value with ties broken by absolute difference in percent expression
- Fixed issue with replicated barcodes in MappingScore (#7922)
- Improved
PseudobulkExpression
by adding ‘g’ to cell names that started with numeric values
- Improved
PseudobulkExpression
by adding each variable specified in group.by
as columns in the object metadata when return.seurat=TRUE
- Fixed
DimPlot
and FeatureScatter
which were breaking when using the split.by
argument with a variable that contained NAs
Seurat 5.0.0 (2023-10-25)
Added
- Add
BridgeCellsRepresentation
to construct a dictionary representation for each unimodal dataset.
- Add
BuildNicheAssay
to construct a new assay where each feature is a cell label. The values represent the sum of a particular cell label neighboring a given cell.
- Add
CalcDispersion
to calculate the dispersion of features.
- Add
CCAIntegration
to perform Seurat-CCA Integration.
- Add
CountSketch
to generate a CountSketch random matrix.
- Add
CreateCategoryMatrix
to create a one-hot matrix for a given label.
- Add
DISP
to find variable features based on dispersion.
- Add
FastRPCAIntegration
as a convenience wrapper function around the following three functions that are often run together when performing integration.
- Add
FetchResiduals_reference
as a temporary function to get residuals from the reference.
- Add
FetchResiduals
to call sctransform::get_residuals.
- Add
FetchResidualSCTModel
to calculate Pearson residuals of features not in the scale.data.
- Add
FindBridgeAnchor
to find bridge anchors between two unimodal datasets.
- Add
FindBridgeIntegrationAnchors
to find a set of anchors for integration between unimodal query and the other unimodal reference using a pre-computed BridgeReferenceSet.
- Add
FindBridgeTransferAnchors
to find a set of anchors for label transfer between unimodal query and the other unimodal reference using a pre-computed BridgeReferenceSet.
- Add
GaussianSketch
to perform Gaussian sketching.
- Add
HarmonyIntegration
to perform Harmony integration.
- Add
IntegrateLayers
to integrate layers in an assay object.
- Add
JointPCAIntegration
to perform Seurat-Joint PCA Integration.
- Add
LeverageScore
to compute the leverage scores for a given object.
- Add
LoadCurioSeeker
to load Curio Seeker data.
- Add
MVP
to find variable features based on mean.var.plot.
- Add
NNtoGraph
to convert the Neighbor class to an asymmetrical Graph class.
- Add
PrepareBridgeReference
to preprocess the multi-omic bridge and unimodal reference datasets into an extended reference.
- Add
ProjectCellEmbeddings
to project query data onto the reference dimensional reduction.
- Add
ProjectData
to project high-dimensional single-cell RNA expression data from a full dataset onto the lower-dimensional embedding of the sketch of the dataset.
- Add
ProjectDimReduc
to project query data to reference dimensional reduction.
- Add
ProjectIntegration
to integrate embeddings from the integrated sketched.assay.
- Add
PseudobulkExpression
to normalize the count data present in a given assay.
- Add
Read10X_probe_metadata
to read the probe metadata from a 10x Genomics probe barcode matrix file in HDF5 format.
- Add
RPCAIntegration
to perform Seurat-RPCA Integration.
- Add
RunGraphLaplacian
to run a graph Laplacian dimensionality reduction.
- Add
SelectIntegrationFeatures5
to select integration features for v5 assays.
- Add
SelectSCTIntegrationFeatures
to select SCT integration features.
- Add
SketchData
to use sketching methods to downsample high-dimensional single-cell RNA expression data for help with scalability for large datasets.
- Add
TransferSketchLabels
to transfer cell type labels from a sketched dataset to a full dataset based on the similarities in the lower-dimensional space.
- Add
UnSketchEmbeddings
to transfer embeddings from sketched cells to the full data.
- Add
VST
to apply a variance stabilizing transformation for selection of variable features.
Changes
- Change
FindTransferAnchors
so that anchor filtering is not performed by default
- Change
merge
so that layers will be added to a single Seurat object instead of combining raw count matrices
- Deprecate
slot
parameter in favor of layers
in accessor and set methods
Seurat 4.4.0 (2023-09-27)
Added
- Add parallelization support with speed improvements for
PrepSCTFindMarkers
- Fix bug in
LoadNanostring
(#7566)
Changes
- Fix bug in
as.Seurat.SingleCellExperiment()
(#6692)
- Support for Visium probe information introduced in Spaceranger 2.1 (#7141)
- Add
LoadCurioSeeker
to load sequencing-based spatial datasets generated using the Curio Seeker
- Fix fold change calculation for assays (#7095)
- Fix
pt.size
bug when rasterization is set to true (#7379)
- Fix
FoldChange
and FindMarkers
to support all normalization approaches (#7115,#7110,#7095,#6976,#6654,#6701,#6773, #7107)
- Fix for handling newer ParseBio formats in
ReadParseBio
(#7565)
- Fix for handling rasterization by default (#7842)
- Fix bug in
ReadMtx()
to add back missing parameters
- Fix
SCTransform()
for V5 assays to retain gene attributes (#7557)
- Fix
LeverageScore()
for objects with few features (#7650
Seurat 4.3.0 (2022-11-18)
Added
- Add support for imaging-based spatial datasets
Changes
- Fix bug in
FindMarkers()
when run post Integration/Transfer (#6856)
Seurat 4.2.1 (2022-11-08)
Changes
- Replaced import from
spatstat.core
with spatstat.explore
- Fix bug in
FindMarkers()
when using SCT
assay (#6856)
Seurat 4.2.0 (2022-09-21)
Changes
- Fix legend color in
DoHeatmap()
(#5783)
- Fix bug in
ScaleData()
when regressing out one gene (#5970)
- Fix name pulling in
PlotPerturbScore()
(#6081)
- Support spaceranger 2.0 (#6208)
- Fix bug in
SpatialDimPlot()
when using group.by
(#6179)
- Add
add.noise
parameter in VlnPlot()
(#5756)
- Fix uwot model backwards compatibility (#6345)
- Allow
pseudocount.use
in differential expression functions to be set at the Assay
level
Seurat 4.1.1 (2022-05-01)
Changes
- Fix
giveCsparse
related warnings in Read10X_h5
- Fix ident labeling for
SpatialPlot
(#5774)
- Fix
ReadMtx
on Windows (#5687)
- Fix
VlnPlot
to switch on rasterization only when required (#5846)
- Fix
ncol
behavior in SpatialPlot
(#5774)
- Set
jitter
to FALSE in FeatureScatter
(#5876)
- Update
Cells
methods to new signature (x, ...
)
- Replace use of
default.stringsAsFactors()
with getOption("stringsAsFactors")
Seurat 4.1.0 (2022-01-14)
Added
- Add
raster.dpi
parameter to DimPlot/FeaturePlot
to optionally rasterize individual points (#5392)
- Add support for sctransform v2, differential expression with SCT assay
Changes
- Update
ReadParseBio
to support split-pipe 0.9.6p (#5446)
- Fixes for MAST differential expression (#5441)
- Fix scaling options when using
split.by
in FeaturePlot()
(#5243)
Seurat 4.0.6 (2021-12-16)
Added
Changes
- Add
raster
parameter to VlnPlot
to optionally rasterize individual points (#5076)
- Add
min.cells.group
parameter to FindConservedMarkers
(#5079)
- Set
do.center
to FALSE for lsiproject
in FindTransferAnchors
- Fix error message in
ReadMtx()
(#5158)
- Add
label.color
parameter to FeaturePlot
(#5314)
- Fix issues in
ProjectUMAP
(#5257, #5104, #5373)
Seurat 4.0.5 (2021-10-04)
Changes
- Update documentation for
to.upper
parameter in Load10X_Spatial()
(#4576)
- Update concept tags for
RunSPCA()
(#4978)
- Conditionally run tests/packages that use suggested packages (#5160)
- Set random state in
RunUMAP()
when using the umap-learn
method (#5194)
Seurat 4.0.4 (2021-08-19)
Added
- Add
reduction
parameter to BuildClusterTree()
(#4598)
- Add DensMAP option to
RunUMAP()
(#4630)
- Add
image
parameter to Load10X_Spatial()
and image.name
parameter to Read10X_Image()
(#4641)
- Add
ReadSTARsolo()
function to read output from STARsolo
- Add
densify
parameter to FindMarkers()
- Add
ReadParsebio()
function to read output from Parse Biosciences
- Add the
image.alpha
parameter to SpatialDimPlot()
and SpatialFeaturePlot()
- Add support for the correlation metric in
RunUMAP
(#4972)
Changes
- Warn and continue rather than erroring if not all features are available in
FindSpatiallyVariableFeatures()
(#4611)
- Bug fix for SCT-based integration in selecting proper reference model (#4355)
- Bug fix for reading from absolute paths in ReadMtx (#4723)
- Bug fix in SingleCellExperiment conversion (#4633)
- Bug fix in
FindVariableFeatures()
when using selection.method = "mvp"
and binning.method = "equal_frequency"
(#4712)
- Bug fix in
DoHeatmap()
to remove random characters from plot legend(#4660)
- Fix cell renaming in
RunCCA()
- Fix issue in SingleCellExperiment conversion where the mainExp would not be set properly
- Fix for default dispersion info displayed in
VariableFeaturePlot()
Seurat 4.0.3 (2021-06-10)
Added
- Add
jitter
parameter to FeatureScatter()
Changes
- Fix issues with
as.SingleCellExperiment.Seurat()
for the latest verion of SingleCellExperiment (#4532)
- Ensure proper reference.reduction is used in
MapQuery()
- Fix to
UpdateSymbolList()
, no longer searches aliases and exposes the search.types
parameter in GeneSymbolThesarus()
(#4545)
- Transfer
scale.data
slot as well when converting with as.SingleCellExperiment.Seurat()
- Enable
alpha
parameter for SpatialDimPlot()
- Fix
as.SingleCellExperiment.Seurat()
conversion for atypical reducedDim
components
Seurat 4.0.2 (2020-05-20)
Added
- New
AddAzimuthScores()
and AddAzimuthResults()
functions
- Add
shuffle
parameter to FeatureScatter()
(#4280)
- Add
lsiproject
and rpca
options for FindTransferAnchors()
- Add
rlsi
option for FindIntegrationAnchors()
Changes
- Preserve feature metadata when converting from
SingleCellExperiment
to SeuratObject
class (#4205)
- Preserve multiple assays when converting from
SingleCellExperiment
to SeuratObject
class (#3764)
- Fix passing of
score.thresh
parameter in ScoreJackStraw()
(#4268)
- Fix FC calculation in
FindMarkers()
non-log transformed data.
- Add umap-learn version >= 0.5.0 compatibility for
RunUMAP()
- Fix
DotPlot
to use log1p
when scale=False
(#4298)
- Fix split and shuffled
DimPlot
- Disallow NULL or another length 0 vector for
ident.1
in FindMarkers()
- Fix range shift when labeling clusters on a GeomSpatial plot
- Fix SpatialPlot distortion for non-square images.
- Fix future-related warnings in
FindIntegrationAnchors()
- Fix
fc.name
parameter in FindMarkers()
(#4474)
- Deprecate
group.by
parameter in PlotPerturbScore()
in favor of mixscape.class
.
Seurat 4.0.1 (2020-03-17)
Added
- Add direction option to
PlotClusterTree()
- Add
cols
parameter to JackStrawPlot()
- Add
ReadMtx()
to read local and remote mtx files with associated cell and feature name files
Changes
- Equality added to differential expression thresholds in
FindMarkers
(e.g, >= logfc.threshold rather than >)
Read10X()
now prepends dataset number for first dataset when reading multiple datasets
- Bug fix for
subset.AnchorSet()
- Bug fix for fold change values in
FindMarkers()
when setting a different pseudocount (#4111)
- Bug fix for
RunLDA()
related to proper passing of assay parameter.
- When using
order=TRUE
in SingleDimPlot()
, print NA points under all others.
- Remove default parameter value for
data.dir
in Read10X()
- Import spatstat fxns from subpackages (spatstat.core, spatstat.geom)
RunUMAP
now checks for graph/neighbor consistency
Seurat 4.0.0 (2020-01-27)
Added
- Expose
FoldChange()
component in FindMarkers()
.
- Add the
merge.DimReduc
method
- Add
IntegrateEmbeddings()
to correct embeddings of DimReduc
s
- Add
ProjectUMAP()
to project query cells into a reference UMAP space
- Add
MapQuery()
as a wrapper around IntegrateData()
, IntegrateEmbeddings()
, and ProjectUMAP()
- Add
MappingScore
to compute a per-cell mapping score used in Azimuth
- Add
AggregateExpression()
for summation based pseudobulk calculations
- Add mixscape functionality via
CalcPerturbSig()
, PrepLDA()
, RunLDA()
, DEenrichRPlot()
, MixscapeHeatmap()
, MixscapeLDA()
, PlotPerturbScore()
, RunMixscape()
- Add
FindSubCluster()
to further cluster existing clusters
- Add supervised PCA functionality via
RunSPCA()
- Add functionality to enable weighted nearest neighbor analyses via
FindMultiModalNeighbors()
- Add neighbor visualization plot via
NNPlot()
.
- Add
PredictAssay()
to impute expression or embeddings from nearest neighbors
- Add
Graphs()
function to access the names of the stored Graph objects or pull a specific one
- Add checks for NA, NaN, logical, non-integer, and infinite values during CreateAssayObject and NormalizeData.default
- Add
AnnotateAnchors()
to aid in AnchorSet interpretation as well as subset.AnchorSet()
- Add flexibility of choice for cell column in
Read10X()
- Add rasterization option to
FeatureScatter()
and VariableFeaturePlot()
- Add step1 feature parameters in the SCTModel via
PrepVSTResults()
Changes
- Default neighbor finding algorithm changed from “rann” to “annoy”
- Default
ncells
parameter in SCTransform()
changed to 5000
- Default fold change in
FindMarkers()
changed from ln to log2
- Implementation improvements to
AverageExpression()
AnchorSet
class re-implemented as a virtual class from which IntegrationAnchorSet
and TransferAnchorSet
now inherit.
- Point size in
VlnPlot()
now set automatically if not specified
- Return the sample.tree properly when integrating with a single reference dataset
- Replace
as.character.quosure
usage with as_label
due to deprecation
- Minor changes to the exact calculation of the anchor weight matrix
- Default rasterization limit in
DimPlot()
and FeaturePlot()
changed from 50,000 to 100,000
SCTransform()
now returns a formalized Assay
subclass SCTAssay()
- When using
normalization.method='SCT'
in FindTransferAnchors()
, normalize query using reference SCT model when possible.
- Change default Neighbor name in
FindNeighbors
to Assay.nn
Removed
CreateGeneActivityMatrix
replaced by Signac::GeneActivity()
RunLSI
replaced by by Signac::RunTFIDF()
and Signac::RunSVD()
ReadAlevin
and ReadAlevinCsv
moved to SeuratWrappers
ExportToCellbrowser
and StopCellbrowser
moved to SeuratWrappers
Seurat 3.2.3 - 2020-12-14
Added
- Titles added to
DimPlot
when specifying group.by
parameter
keep.scale
parameter added to FeaturePlot
to control scaling across multiple features and/or splits.
Changes
Same
deprecated in favor of base::identity
- Fix in
DietSeurat
to work with specialized Assay
objects
- Fix p-value return when using the
ape
implementation of Moran’s I
- Fix bug in FindMarkers when using MAST with a latent variable
- Updates to
Key<-.DimReduc
that allow handling of empty reduction column names
- Allow setting
ctrl
in CellCycleScoring
- Modify subset.Seurat to allow specialized Assay subsetting methods
- Fix image selection in interactive spatial plots
- Update Rcpp functions with
export(rng=FALSE)
to avoid potential future warnings
- Fix RenameCells bug for integrated SCT assays
- Fix highlight order with proper factor levels when using
SetHighlight
in plots
- Small change in CellRanger version detection logic of h5 file to improve robustness to outside tools.
do.cpp
deprecated and will default to true
Seurat 3.2.2 (2020-09-25)
Changes
- Set the seed in
WhichCells
regardless of whether or not idents
is passed
- Retain Graph and Neighbor objects when subsetting only on features
- Fix data.frame input to
CreateAssayObject()
when data.frame has no rownames.
- Default annoy search to sequential if not using multicore future plans.
- Require sctransform >= 0.3.0
Seurat 3.2.1 (2020-09-04)
Added
- Added support for nearest neighbor input and
return.model
parameter in RunUMAP()
- Enable named color vectors in
DoHeatmap()
- Add
label.color
and label.box
parameters to DimPlot
- Added
shuffle
and seed
parameters to DimPlot()
to help with overplotting
- Added new stacked violin plot functionality
Changes
- Allow setting
slot
parameter in RunUMAP
- Added support for FIt-SNE v1.2+
- Fix for
Spatial*Plot
when running with interactive=TRUE
- Set max for number of items returned by
Top
and remove duplicate items when balanced=TRUE
- Fix logging bug when functions were run via
do.call()
- Fix handling of weight.by.var parameter when approx=FALSE in
RunPCA()
- Fix issue where feature names with dashes crashed
CellSelector
- Fix issue where errors in subsetting were being swallowed
- Fix issue where labeling uncropped spatial plots was broken
Deprecated
CreateActivityMatrix
deprecated in favor of Signac::GeneActivity
ReadAlevin
and ReadAlevinCsv
deprecated in favor of SeuratWrappers::ReadAlevin
ExportToCellbrowser
and StopCellbrowser
deprecated in favor of SeuratWrappers::ExportToCellbrowser
and SeuratWrappers::StopCellbrowser
ReadH5AD
and WriteH5AD
deprecated in favor of h5Seurat/H5AD functionality found in SeuratDisk
as.loom
and as.Seurat.loom
deprecated in favor of functionality found in SeuratDisk
Seurat 3.2.0 (2020-07-15)
Added
- Added ability to create a Seurat object from an existing Assay object, or any object inheriting from the Assay class
- Added ability to cluster idents and group features in
DotPlot
- Added ability to use RColorBrewer plaettes for split
DotPlots
- Added visualization and analysis functionality for spatially resolved datasets (Visium, Slide-seq).
Changes
- Removed
add.iter
parameter from RunTSNE
function
- Fixed integer overflow error in the WilcoxDETest function
- Minor visual fixes in
DoHeatmap
group bar + labels
- Efficiency improvements in anchor scoring (
ScoreAnchors
)
- Fix bug in
FindClusters()
when the last node has no edges
- Default to weighted = TRUE when constructing igraph objects in
RunLeiden
. Remove corresponding weights parameter from FindClusters()
.
- Fix handling of keys in
FeatureScatter()
- Change
CellSelector
to use Shiny gadgets instead of SDMTools
- Mark
PointLocator
as defunct
- Remove
SDMTools
- Fixed data slot return in
AverageExpression
when subsetting features and returning a Seurat object
Seurat 3.1.5 (2020-04-14)
Added
- New
scale
parameter in DotPlot
- New
keep.sparse parameter in
CreateGeneActivityMatrix` for a more memory efficient option
- Added ability to store model learned by UMAP and project new data
- New
strip.suffix
option in Read10X
. This changes the default behavior of Read10X
. A trailing -1
present in all cell names will not be removed by default.
- Added
group.by
parameter to FeatureScatter
Changes
- Replace wilcox.test with limma implementation for a faster FindMarkers default method
- Better point separation for
VlnPlot
s when using the split.by
option
- Efficiency improvements for anchor pairing
- Deprecate redundant
sort.cell
parameter in FeaturePlot
- Fixes to ensure correct class of Matrix passed to c++ functions
- Fixes for underscores in ident labels for
DotPlot
- Ensure preservation of matrix dimnames in
SampleUMI
- Fix non-standard evaluation problems in
subset
and WhichCells
- Default split violin option is now a multi group option
- Preserve alpha in
FeaturePlot
when using blend
- Update
assay.used
slot for DimReduc
s when Assay is renamed
Seurat 3.1.4 (2020-02-20)
Changes
- Fixes to
DoHeatmap
to remain compatible with ggplot2 v3.3
- Adoption of
patchwork
framework to replace CombinePlots
Seurat 3.1.3 (2020-02-07)
Added
- New system agnostic
Which
function to address problems with FItSNE on Windows
Changes
- Export
CellsByIdentities
and RowMergeSparseMatrices
functions
- nCount and nFeature metadata variables retained after subset and updated properly with
UpdateSeuratObject
- Fix uwot support for running directly on feature matrices
- Fixes for keys with underscores
- Fix issue with leiden option for
FindClusters
- Fix for data transfer when using sctransform
- SDMTools moved to Suggests as package is orphaned
Seurat 3.1.2 (2019-12-11)
Added
- New silent slot updater
- New random seed options to
RunCCA
, RunTSNE
, WhichCells
, HTODemux
, AddModuleScore
, VlnPlot
, and RidgePlot
- Enhancements for dealing with
Assay
-derived objects
Changed
- Only run
CalcN
(generates nFeatures and nCounts) when counts
changes
- Fix issue regarding colons in feature names
- Change object class testing to use
inherits
or is.*
for R 4.0 compatability
Seurat 3.1.1 (2019-09-20)
Added
- New
RegroupIdents
function to reassign idents based on metadata column majority
UpdateSymbolList
function to pull new gene names from HGNC
- Added support for H5AD layers as additional assays in a
Seurat
object
Changed
- Fix rownames issue when running UMAP on dist object
- Add support for new H5AD
obsm
and varm
stucture
- Fix issue when trying to read non-existent feature-level metadata from an H5AD file
- Fix in integration workflow when using SCTransform
- Improved error checking for
AddModuleScore
- cbind fix in reference-based integration (
MapQuery
)
- Fix for convenience plots error hanging
- Ensure Seurat objects aren’t stored in the command logs
Seurat 3.1.0 (2019-08-20)
Added
- New
PrepSCTIntegration
function to facilitate integration after SCTransform
- Reference-based integration with the
reference
parameter in FindIntegrationAnchors
- Reciprocal PCA as a
reduction
option in FindIntegrationAnchors
- New
CollapseEmbeddingOutliers
function
- Enable
FindTransferAnchors
after SCTransform
- Added back
ColorDimSplit
functionality
- Include a code of conduct
- Added uwot support as new default UMAP method
- Added
CheckDots
to catch unused parameters and suggest updated names
Reductions
and Assays
assays functions to list stored DimReducs and Assays
Changed
- Fix regex in
LogSeuratCommand
- Check for NAs in feature names in
Read10X
- Prevent dimnames for counts/data/scale.data matrices from being arrays
- Updates
ReadH5AD
to distinguish FVF methods
- Fixes to UpdateSeuratObject for v2 objects
- Sink all output from stdout to stderr
- Fix to scale.data cell ordering after subsetting
- Enable
Assay
specification in BuildClusterTree
- Fix
FeaturePlot
when using both blend
and split.by
- Fix to
WhichCells
when passing cells
and invert
- Fix to
HoverLocator
labels and title
- Ensure features names don’t contain pipes (
|
)
- Deprecation of
RunLSI
and RunALRA
- Fix legend bug when sorting in
ExIPlot
Seurat 3.0.2 (2019-06-07)
Added
- Flag to skip singleton grouping in
FindClusters
- New custom colors for blended
FeaturePlot
s
- New
GetResidual
function
- New Seurat/Monocle converters
Changed
- Fix issue where certain assays weren’t being shown in the
Seurat
object
- Fix issue where we weren’t updating
DimReduc
object column names
- Fix line spacers in
DoHeatmap
- Fix uninformative labels in
FeaturePlot
- Fix unset identities when converting from SCE to Seurat
- Fix single colors being interpreted as palettes in
SingleDimPlot
- Ensure factor levels are always numerically increasing after
FindClusters
- Better cell highlighting colors for
DimPlot
- Fix to
levels<-.Seurat
- Add ability to use counts/scaled data in
BuildClusterTree
- Minor fix to split
ScaleData
Seurat 3.0.1 (2019-05-16)
Added
- Add global option (Seurat.memsafe) to skip gc() calls
- Restore draw.lines to DoHeatmap, maintain size of color bar with different number of features (#1429)
- Enable split.by parameter for ScaleData
- Add slot parameter to FeaturePlot (#1483)
- Add assay parameter to DotPlot (#1404)
Changed
- Fix to color options for VlnPlot with split.by option (#1425)
- Improvements to conversion functions (loom, SCE)
- Fix for cluster tree reordering (#1434)
- Fix PercentageFeatureSet for single feature case
- Fix to fold change calculation and filtering for other slots in FindMarkers (#1454)
- Keep title vectorized in AugmentPlot (#1515)
- Export LogSeuratCommand function
- Fix for FindConservedMarkers when one ident is missing from a group (#1517)
Seurat 3.0.0 (2019-04-16)
Added
- New method for identifying anchors across single-cell datasets
- Parallelization support via future
- Additional method for demultiplexing with MULTIseqDemux
- Support normalization via sctransform
- New option for clustering with the Leiden algorithm
- Support for reading 10X v3 files
- New function to export Seurat objects for the UCSC cell browser
- Support for data import from Alevin outputs
- Imputation of dropped out values via ALRA
Changed
- Significant code restructuring
- Most occurances of “gene(s)” in function names/arguments renamed to “feature(s)”
- Changes to the Seurat object class to facilitate multimodal data
- New BlendPlot implementation
Seurat 2.3.4 (2018-07-13)
Added
- GetIdent function added to pull identity info
Changed
- DiffusionMap dependency replaced with destiny to avoid archival
- Java dependency removed and functionality rewritten in Rcpp
- Speed and efficiency improvements for Rcpp code
- More robust duplicate handling in CellCycleScoring
Seurat 2.3.3 (2018-07-02)
Added
- New HTOHeatmap function
- Support for custom PNG arguments for vector-friendly plotting
- Fix for ‘NA’-labeled cells disappearing with custom color scale
Changed
- Replaced FNN with RANN
- Removed unused compiler flags
- Moved several lightly-used packages from ‘imports’ to ‘suggests’
Seurat 2.3.2 (2018-06-11)
Added
- RenameCells added for easy renaming of all cells
- Read10X_h5 added to read in 10X formatted h5 files
- SetAssayData ensures cell order is the same between assay objects and the Seurat object
- Compatability updates for ggplot2 v2.3.0
Seurat 2.3.1 (2018-05-03)
Added
- Support for UMAP dimensional reduction technique
- New conversion functions for SingleCellExperiment and anndata
Changed
- FetchData preserves cell order
- Require Matrix 1.2-14 or higher
- AddModuleScore no longer densifies sparse-matrices
- Various visualization fixes and improvements
- Default value for latent.vars in FindMarkers/FindAllMarkers changed to NULL.
Seurat 2.3.0 (2018-03-22)
Added
- Support for HTO demultiplexing
- Utility functions: TransferIdent, CombineIdent, SplitObject, vector.friendly
- C++ implementation for parts of BuildSNN
- Preliminary parallelization support (regression and JackStraw)
- Support for FItSNE
Changed
- MetaDE replaced with metap for combining p-values (MetaDE was removed from CRAN)
- NMF heatmaps replaced (NMF to be archived by CRAN)
Seurat 2.2.1 (2018-02-14)
Changed
- MetaDE replaced with metap for combining p-values (MetaDE was removed from CRAN)
- NMF heatmaps replaced (NMF to be archived by CRAN)
Seurat 2.2.0 (2018-01-10)
Added
- Multiple alignment functionality with RunMultiCCA and AlignSubspace extended to multiple datasets
- CalcAlignmentScore added to evaluate alignment quality
- MetageneBicorPlot added to guide CC selection
- Change cluster order in DoHeatmap with group.order parameter
- Ability to change plotting order and add a title to DimPlot
- do.clean and subset.raw options for SubsetData
Changed
- JoyPlot has been replaced with RidgePlot
- FindClusters is now more robust in making temp files
- MetaDE support for combining p-values in DE testing
Seurat 2.1.0 (2017-10-12)
Added
- Support for using MAST and DESeq2 packages for differential expression testing in FindMarkers
- Support for multi-modal single-cell data via @assay slot
Changed
- Default DE test changed to Wilcoxon rank sum test
Seurat 2.0.1 (2017-08-18)
Added
- Now available on CRAN
- Updated documentation complete with examples
- Example datasets:
pbmc_small
and cc.genes
- C++ implementation for parts of FindVariableGenes
- Minor bug fixes
Seurat 2.0.0 (2017-07-26)
Added
- New method for aligning scRNA-seq datasets
- Significant code restructuring
- New methods for scoring gene expression and cell-cycle phases
- New visualization features (do.hover, do.identify)