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Merge branch 'develop' of github.com:satijalab/seurat-private into de…
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mojaveazure committed Oct 19, 2021
2 parents 1843511 + 1d1b139 commit 9740698
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: Seurat
Version: 4.0.5
Date: 2021-10-04
Version: 4.0.5.9000
Date: 2021-10-19
Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Authors@R: c(
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7 changes: 7 additions & 0 deletions NEWS.md
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# Unreleased
## Added

## Changes
- Set `do.center` to FALSE for `lsiproject` in `FindTransferAnchors`

# Seurat 4.0.5 (2020-10-04)
## Changes
- Update documentation for `to.upper` parameter in `Load10X_Spatial()` ([#4576](https://github.com/satijalab/seurat/issues/4576))
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- Add the `image.alpha` parameter to `SpatialDimPlot()` and `SpatialFeaturePlot()`
- Add support for the correlation metric in `RunUMAP` ([#4972](https://github.com/satijalab/seurat/issues/4972))


## Changes
- Warn and continue rather than erroring if not all features are available in `FindSpatiallyVariableFeatures()` ([#4611](https://github.com/satijalab/seurat/issues/4611))
- Bug fix for SCT-based integration in selecting proper reference model ([#4355](https://github.com/satijalab/seurat/issues/4355))
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4 changes: 2 additions & 2 deletions R/integration.R
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Expand Up @@ -1041,7 +1041,7 @@ FindTransferAnchors <- function(
reduction = query[[reference.reduction]],
data = GetAssayData(object = reference, assay = reference.assay, slot = "data"),
mode = "lsi",
do.center = TRUE,
do.center = FALSE,
do.scale = FALSE,
use.original.stats = FALSE,
verbose = verbose
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reduction = reference[[reference.reduction]],
data = GetAssayData(object = query, assay = query.assay, slot = "data"),
mode = "lsi",
do.center = TRUE,
do.center = FALSE,
do.scale = FALSE,
use.original.stats = FALSE,
verbose = verbose
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