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SpatialDimPlot
s to display spatial coordinatesBuildClusterTree
to PseudobulkExpression(..., method = "aggregate")
instead of AverageExpression
SpatialPlot
to properly handle images with shared cellscluster.name
parameter to BuildNicheAssay
VisiumV2
class, inherits SeuratObject::FOV
, returned by Load10X_Spatial
Load10X_Spatial
to support loading Visium HD datasets - added bin.size
parameterRead10X_Coordinates
to handle new tissue_coordinates.parquet
filesshape
parameter to SpatialPlot
and wrappers: SpatialFeaturePlot
and SpatialDimPlot
image.scale
parameter to SpatialPlot
and related functions: SpatialFeaturePlot
/ISpatialFeaturePlot
and SpatialDimPlot
/ISpatialDimPlot
image.name
parameter to Read10X_Image
scale
parameter to Radius.VisiumV1
spot.radius
attribute for VisiumV1
instance returned by Read10X_Image
— replace scale.factors$fiducial
with scale.factors$spot
Read10X_Coordinates
and Read10X_ScaleFactors
SpatialPlot
to properly handle mutli-assay Seurat
instancesPercentAbove
to discount null values (#8412)log
parameter to FeatureScatter
clip.range
for SCTransform
when ncells
is less than the size of the passed datasetAverageExpression
to handle features
vector when layer="scale.data"
and return.seurat=TRUE
fc.slot
parameter to FindMarkers
SCTransform
to handle vars.to.regress
(#8148) and (#8349)SCTransform
to handle fetching residuals (#8185)SCTransform.StdAssay
to pass extra arguments to sctransform::vst()
. Fixes #875PseudobulkExpression
by adding ‘g’ to cell names that started with numeric valuesPseudobulkExpression
by adding each variable specified in group.by
as columns in the object metadata when return.seurat=TRUE
DimPlot
and FeatureScatter
which were breaking when using the split.by
argument with a variable that contained NAsBridgeCellsRepresentation
to construct a dictionary representation for each unimodal dataset.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.CalcDispersion
to calculate the dispersion of features.CCAIntegration
to perform Seurat-CCA Integration.CountSketch
to generate a CountSketch random matrix.CreateCategoryMatrix
to create a one-hot matrix for a given label.DISP
to find variable features based on dispersion.FastRPCAIntegration
as a convenience wrapper function around the following three functions that are often run together when performing integration.FetchResiduals_reference
as a temporary function to get residuals from the reference.FetchResiduals
to call sctransform::get_residuals.FetchResidualSCTModel
to calculate Pearson residuals of features not in the scale.data.FindBridgeAnchor
to find bridge anchors between two unimodal datasets.FindBridgeIntegrationAnchors
to find a set of anchors for integration between unimodal query and the other unimodal reference using a pre-computed BridgeReferenceSet.FindBridgeTransferAnchors
to find a set of anchors for label transfer between unimodal query and the other unimodal reference using a pre-computed BridgeReferenceSet.GaussianSketch
to perform Gaussian sketching.HarmonyIntegration
to perform Harmony integration.IntegrateLayers
to integrate layers in an assay object.JointPCAIntegration
to perform Seurat-Joint PCA Integration.LeverageScore
to compute the leverage scores for a given object.LoadCurioSeeker
to load Curio Seeker data.MVP
to find variable features based on mean.var.plot.NNtoGraph
to convert the Neighbor class to an asymmetrical Graph class.PrepareBridgeReference
to preprocess the multi-omic bridge and unimodal reference datasets into an extended reference.ProjectCellEmbeddings
to project query data onto the reference dimensional reduction.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.ProjectDimReduc
to project query data to reference dimensional reduction.ProjectIntegration
to integrate embeddings from the integrated sketched.assay.PseudobulkExpression
to normalize the count data present in a given assay.Read10X_probe_metadata
to read the probe metadata from a 10x Genomics probe barcode matrix file in HDF5 format.RPCAIntegration
to perform Seurat-RPCA Integration.RunGraphLaplacian
to run a graph Laplacian dimensionality reduction.SelectIntegrationFeatures5
to select integration features for v5 assays.SelectSCTIntegrationFeatures
to select SCT integration features.SketchData
to use sketching methods to downsample high-dimensional single-cell RNA expression data for help with scalability for large datasets.TransferSketchLabels
to transfer cell type labels from a sketched dataset to a full dataset based on the similarities in the lower-dimensional space.UnSketchEmbeddings
to transfer embeddings from sketched cells to the full data.VST
to apply a variance stabilizing transformation for selection of variable features.FindTransferAnchors
so that anchor filtering is not performed by defaultmerge
so that layers will be added to a single Seurat object instead of combining raw count matricesslot
parameter in favor of layers
in accessor and set methodsPrepSCTFindMarkers
LoadNanostring
(#7566)as.Seurat.SingleCellExperiment()
(#6692)LoadCurioSeeker
to load sequencing-based spatial datasets generated using the Curio Seekerpt.size
bug when rasterization is set to true (#7379)FoldChange
and FindMarkers
to support all normalization approaches (#7115,#7110,#7095,#6976,#6654,#6701,#6773, #7107)ReadParseBio
(#7565)ReadMtx()
to add back missing parametersSCTransform()
for V5 assays to retain gene attributes (#7557)LeverageScore()
for objects with few features (#7650FindMarkers()
when run post Integration/Transfer (#6856)spatstat.core
with spatstat.explore
FindMarkers()
when using SCT
assay (#6856)DoHeatmap()
(#5783)ScaleData()
when regressing out one gene (#5970)PlotPerturbScore()
(#6081)SpatialDimPlot()
when using group.by
(#6179)add.noise
parameter in VlnPlot()
(#5756)pseudocount.use
in differential expression functions to be set at the Assay
levelgiveCsparse
related warnings in Read10X_h5
SpatialPlot
(#5774)ReadMtx
on Windows (#5687)VlnPlot
to switch on rasterization only when required (#5846)ncol
behavior in SpatialPlot
(#5774)jitter
to FALSE in FeatureScatter
(#5876)Cells
methods to new signature (x, ...
)default.stringsAsFactors()
with getOption("stringsAsFactors")
raster.dpi
parameter to DimPlot/FeaturePlot
to optionally rasterize individual points (#5392)ReadParseBio
to support split-pipe 0.9.6p (#5446)split.by
in FeaturePlot()
(#5243)raster
parameter to VlnPlot
to optionally rasterize individual points (#5076)min.cells.group
parameter to FindConservedMarkers
(#5079)do.center
to FALSE for lsiproject
in FindTransferAnchors
ReadMtx()
(#5158)label.color
parameter to FeaturePlot
(#5314)ProjectUMAP
(#5257, #5104, #5373)to.upper
parameter in Load10X_Spatial()
(#4576)RunSPCA()
(#4978)RunUMAP()
when using the umap-learn
method (#5194)reduction
parameter to BuildClusterTree()
(#4598)RunUMAP()
(#4630)image
parameter to Load10X_Spatial()
and image.name
parameter to Read10X_Image()
(#4641)ReadSTARsolo()
function to read output from STARsolodensify
parameter to FindMarkers()
ReadParsebio()
function to read output from Parse Biosciencesimage.alpha
parameter to SpatialDimPlot()
and SpatialFeaturePlot()
RunUMAP
(#4972)FindSpatiallyVariableFeatures()
(#4611)FindVariableFeatures()
when using selection.method = "mvp"
and binning.method = "equal_frequency"
(#4712)DoHeatmap()
to remove random characters from plot legend(#4660)RunCCA()
VariableFeaturePlot()
jitter
parameter to FeatureScatter()
as.SingleCellExperiment.Seurat()
for the latest verion of SingleCellExperiment (#4532)MapQuery()
UpdateSymbolList()
, no longer searches aliases and exposes the search.types
parameter in GeneSymbolThesarus()
(#4545)scale.data
slot as well when converting with as.SingleCellExperiment.Seurat()
alpha
parameter for SpatialDimPlot()
as.SingleCellExperiment.Seurat()
conversion for atypical reducedDim
componentsAddAzimuthScores()
and AddAzimuthResults()
functionsshuffle
parameter to FeatureScatter()
(#4280)lsiproject
and rpca
options for FindTransferAnchors()
rlsi
option for FindIntegrationAnchors()
SingleCellExperiment
to SeuratObject
class (#4205)SingleCellExperiment
to SeuratObject
class (#3764)score.thresh
parameter in ScoreJackStraw()
(#4268)FindMarkers()
non-log transformed data.RunUMAP()
DotPlot
to use log1p
when scale=False
(#4298)DimPlot
ident.1
in FindMarkers()
FindIntegrationAnchors()
fc.name
parameter in FindMarkers()
(#4474)group.by
parameter in PlotPerturbScore()
in favor of mixscape.class
.PlotClusterTree()
cols
parameter to JackStrawPlot()
ReadMtx()
to read local and remote mtx files with associated cell and feature name filesFindMarkers
(e.g, >= logfc.threshold rather than >)Read10X()
now prepends dataset number for first dataset when reading multiple datasetssubset.AnchorSet()
FindMarkers()
when setting a different pseudocount (#4111)RunLDA()
related to proper passing of assay parameter.order=TRUE
in SingleDimPlot()
, print NA points under all others.data.dir
in Read10X()
RunUMAP
now checks for graph/neighbor consistencyFoldChange()
component in FindMarkers()
.merge.DimReduc
methodIntegrateEmbeddings()
to correct embeddings of DimReduc
sProjectUMAP()
to project query cells into a reference UMAP spaceMapQuery()
as a wrapper around IntegrateData()
, IntegrateEmbeddings()
, and ProjectUMAP()
MappingScore
to compute a per-cell mapping score used in AzimuthAggregateExpression()
for summation based pseudobulk calculationsCalcPerturbSig()
, PrepLDA()
, RunLDA()
, DEenrichRPlot()
, MixscapeHeatmap()
, MixscapeLDA()
, PlotPerturbScore()
, RunMixscape()
FindSubCluster()
to further cluster existing clustersRunSPCA()
FindMultiModalNeighbors()
NNPlot()
.PredictAssay()
to impute expression or embeddings from nearest neighborsGraphs()
function to access the names of the stored Graph objects or pull a specific oneAnnotateAnchors()
to aid in AnchorSet interpretation as well as subset.AnchorSet()
Read10X()
FeatureScatter()
and VariableFeaturePlot()
PrepVSTResults()
ncells
parameter in SCTransform()
changed to 5000FindMarkers()
changed from ln to log2AverageExpression()
AnchorSet
class re-implemented as a virtual class from which IntegrationAnchorSet
and TransferAnchorSet
now inherit.VlnPlot()
now set automatically if not specifiedas.character.quosure
usage with as_label
due to deprecationDimPlot()
and FeaturePlot()
changed from 50,000 to 100,000SCTransform()
now returns a formalized Assay
subclass SCTAssay()
normalization.method='SCT'
in FindTransferAnchors()
, normalize query using reference SCT model when possible.FindNeighbors
to Assay.nn
CreateGeneActivityMatrix
replaced by Signac::GeneActivity()
RunLSI
replaced by by Signac::RunTFIDF()
and Signac::RunSVD()
ReadAlevin
and ReadAlevinCsv
moved to SeuratWrappersExportToCellbrowser
and StopCellbrowser
moved to SeuratWrappersDimPlot
when specifying group.by
parameterkeep.scale
parameter added to FeaturePlot
to control scaling across multiple features and/or splits.Same
deprecated in favor of base::identity
DietSeurat
to work with specialized Assay
objectsape
implementation of Moran’s IKey<-.DimReduc
that allow handling of empty reduction column namesctrl
in CellCycleScoring
export(rng=FALSE)
to avoid potential future warningsSetHighlight
in plotsdo.cpp
deprecated and will default to trueWhichCells
regardless of whether or not idents
is passedCreateAssayObject()
when data.frame has no rownames.return.model
parameter in RunUMAP()
DoHeatmap()
label.color
and label.box
parameters to DimPlot
shuffle
and seed
parameters to DimPlot()
to help with overplottingslot
parameter in RunUMAP
Spatial*Plot
when running with interactive=TRUETop
and remove duplicate items when balanced=TRUEdo.call()
RunPCA()
CellSelector
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 SeuratDiskas.loom
and as.Seurat.loom
deprecated in favor of functionality found in SeuratDiskDotPlot
DotPlots
add.iter
parameter from RunTSNE
functionDoHeatmap
group bar + labelsScoreAnchors
)FindClusters()
when the last node has no edgesRunLeiden
. Remove corresponding weights parameter from FindClusters()
.FeatureScatter()
CellSelector
to use Shiny gadgets instead of SDMToolsPointLocator
as defunctSDMTools
AverageExpression
when subsetting features and returning a Seurat objectscale
parameter in DotPlot
keep.sparse parameter in
CreateGeneActivityMatrix` for a more memory efficient optionstrip.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.group.by
parameter to FeatureScatter
VlnPlot
s when using the split.by
optionsort.cell
parameter in FeaturePlot
DotPlot
SampleUMI
subset
and WhichCells
FeaturePlot
when using blend
assay.used
slot for DimReduc
s when Assay is renamedDoHeatmap
to remain compatible with ggplot2 v3.3patchwork
framework to replace CombinePlots
Which
function to address problems with FItSNE on WindowsCellsByIdentities
and RowMergeSparseMatrices
functionsUpdateSeuratObject
FindClusters
RunCCA
, RunTSNE
, WhichCells
, HTODemux
, AddModuleScore
, VlnPlot
, and RidgePlot
Assay
-derived objectsCalcN
(generates nFeatures and nCounts) when counts
changesinherits
or is.*
for R 4.0 compatabilityRegroupIdents
function to reassign idents based on metadata column majorityUpdateSymbolList
function to pull new gene names from HGNCSeurat
objectobsm
and varm
stuctureAddModuleScore
MapQuery
)PrepSCTIntegration
function to facilitate integration after SCTransform
reference
parameter in FindIntegrationAnchors
reduction
option in FindIntegrationAnchors
CollapseEmbeddingOutliers
functionFindTransferAnchors
after SCTransform
ColorDimSplit
functionalityCheckDots
to catch unused parameters and suggest updated namesReductions
and Assays
assays functions to list stored DimReducs and AssaysLogSeuratCommand
Read10X
ReadH5AD
to distinguish FVF methodsAssay
specification in BuildClusterTree
FeaturePlot
when using both blend
and split.by
WhichCells
when passing cells
and invert
HoverLocator
labels and title|
)RunLSI
and RunALRA
ExIPlot
FindClusters
FeaturePlot
sGetResidual
functionSeurat
objectDimReduc
object column namesDoHeatmap
FeaturePlot
SingleDimPlot
FindClusters
DimPlot
levels<-.Seurat
BuildClusterTree
ScaleData
pbmc_small
and cc.genes
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.