swh:1:snp:0da231f3ffdb3226650880f1b61d5d5cdcbd749b
Tip revision: 4e868fcde49dc0a3df47f94f5fb54a421bfdf7bc authored by Paul Hoffman on 18 March 2021, 15:58:34 UTC
Merge pull request #4247 from satijalab/develop
Merge pull request #4247 from satijalab/develop
Tip revision: 4e868fc
NEWS.md
# 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](https://github.com/satijalab/seurat/pull/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](https://github.com/lmcinnes/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)