| Title: | A Shiny App Demonstrating a Query-Reference Mapping Algorithm for Single-Cell Data |
|---|---|
| Description: | Azimuth uses an annotated reference dataset to automate the processing, analysis, and interpretation of a new single-cell RNA-seq or ATAC-seq experiment. Azimuth leverages a 'reference-based mapping' pipeline that inputs a counts matrix and performs normalization, visualization, cell annotation, and differential expression (biomarker discovery). |
| Authors: | Andrew Butler [aut] (ORCID: <https://orcid.org/0000-0003-3608-0463>), Charlotte Darby [aut] (ORCID: <https://orcid.org/0000-0003-2195-5300>), Yuhan Hao [aut] (ORCID: <https://orcid.org/0000-0002-1810-0822>), Austin Hartman [aut] (ORCID: <https://orcid.org/0000-0001-7278-1852>), Paul Hoffman [aut, cre] (ORCID: <https://orcid.org/0000-0002-7693-8957>), Jaison Jain [ctb] (ORCID: <https://orcid.org/0000-0002-9478-5018>), Gesmira Molla [aut] (ORCID: <https://orcid.org/0000-0002-8628-5056>), Rahul Satija [aut] (ORCID: <https://orcid.org/0000-0001-9448-8833>), Satija Lab and Collaborators [fnd] |
| Maintainer: | Paul Hoffman <[email protected]> |
| License: | GPL-3 | file LICENSE |
| Version: | 0.5.1 |
| Built: | 2026-10-05 11:29:29 UTC |
| Source: | https://github.com/satijalab/azimuth |
Azimuth uses an annotated reference dataset to automate the processing, analysis, and interpretation of a new single-cell RNA-seq or ATAC-seq experiment. Azimuth leverages a 'reference-based mapping' pipeline that inputs a counts matrix and performs normalization, visualization, cell annotation, and differential expression (biomarker discovery).
Azimuth uses the following options to control the behavior of the app.
Users can provide these as named arguments to AzimuthApp
through dots (...), specify these in the config file, or configure these with
options.
The following options control app behavior
Azimuth.app.default_adtADT to select by default in feature/violin plot
Azimuth.app.default_geneGene to select by default in feature/violin plot
Azimuth.app.default_metadataDefault metadata transferred from reference.
Azimuth.app.demodatasetPath to data file (in any Azimuth-supported format) to automatically load when the user clicks a button. The button is only available in the UI if this option is set
Azimuth.app.googlesheetGoogle Sheet identifier (appropriate for use with
googlesheets4:gs4_get) to write log
records. Logging is only enabled if this and other google* options
are set
Azimuth.app.googletokenPath to directory containing Google Authentication token file.
Logging is only enabled if this and other google* options are set
Azimuth.app.googletokenemailEmail address corresponding to the Google Authentication token file.
Logging is only enabled if this and other google* options are set
Azimuth.app.max_cellsMaximum number of cells allowed to upload
Azimuth.app.metadata_notransferMetadata to annotate in reference but not transfer to query
Azimuth.app.mitoRegular expression pattern indicating mitochondrial features in query object
Azimuth.app.plotseedSeed to shuffle colors for cell types
Azimuth.app.referenceURL or directory path to reference dataset; see
LoadReference for more details
Azimuth.app.refuriURL for publicly available reference dataset, used in the downloadable
analysis script in case Azimuth.app.reference points to a directory
Azimuth.app.refdescriptorProvide (as a string) the html to render the reference description on the welcome page
Azimuth.app.welcomeboxProvide (as a string) the code to render the box on the welcome page (quotes escaped). Example:
box( h3(\"Header\"), \"body text\", a(\"link\", href=\"www.satijalab.org\", target=\"_blank\"), width = 12 )
Azimuth.app.homologsURL or path to file containing the human/mouse homolog table.
Azimuth.app.metatableheatmapDisplay the meta.data table as a heatmap rather than in tabular form. defaults to FALSE.
Azimuth.app.overlayedreferenceDisplay the mapped query on top of greyed out reference in the 'Cell Plots' tab. defaults to FALSE
These options control mapping and analysis behavior
Azimuth.map.ncellsMinimum number of cells required to accept uploaded file
defaults to 100
Azimuth.map.ngenesMinimum number of genes in common with reference to accept uploaded file;
defaults to 250
Azimuth.map.nanchorsMinimum number of anchors that must be found to complete mapping.
Defaults to 50
Azimuth.map.panchorscolorsConfigure the valuebox on the main page corresponding to the values for
failure, warning, success for fraction of unique query cells that
participate in anchor pairs. Failure corresponds to
[0:Azimuth.map.fracanchorscolors[1]), warning to
[Azimuth.map.fracanchorscolors[1]:Azimuth.map.fracanchorscolors[2]),
and success is >= Azimuth.map.fracanchorscolors[2].
Defaults to c(5, 15)
Azimuth.map.postmapqccolorsConfigure the valuebox on the main page corresponding to the values for
failure, warning, success for the post mapping cluster based QC metric.
Failure corresponds to [0:Azimuth.map.postmapqc[1]), warning to
[Azimuth.map.postmapqc[1]:Azimuth.map.postmapqc[2]),
and success is >= Azimuth.map.postmapqc[2].
Defaults to c(0.15, 0.25)
Azimuth.map.postmapqcdsSet the amount of query random downsampling to perform before computing
the mapping QC metric.
Defaults to 5000
Azimuth.map.ntreesAnnoy (approximate nearest neighbor) n.trees parameter
Defaults to 20
Azimuth.map.ndimsNumber of dimensions to use in FindTransferAnchors and TransferData
Defaults to 50
Azimuth.de.mincellsMinimum number of cells per cluster for differential expression; defaults
to 15
Azimuth.de.digitsNumber of digits to round differential expression table to; defaults to
3
Azimuth.sct.ncells, Azimuth.sct.nfeats
Number of cells and features to use for
SCTransform, respectively. Defaults to 2000
for each
The following options are used by external dependencies that have an effect on Azimuth's behavior. Refer to original package documentation for more details
shiny.maxRequestSizeUser-configurable; used for controlling the maximum file size of uploaded datasets. Defaults to 500 Mb
DT.optionsUser-configurable; used for controlling biomarker table outputs.
Defaults to setting pageLength to 10
future.globals.maxSizeNon-configurable; used for parallelization. Defaults to
Azimuth.app.max_cells * 320000
Maintainer: Paul Hoffman [email protected] (ORCID)
Authors:
Andrew Butler [email protected] (ORCID)
Charlotte Darby [email protected] (ORCID)
Yuhan Hao [email protected] (ORCID)
Austin Hartman [email protected] (ORCID)
Gesmira Molla [email protected] (ORCID)
Rahul Satija [email protected] (ORCID)
Other contributors:
Jaison Jain [email protected] (ORCID) [contributor]
Satija Lab and Collaborators [funder]
Useful links:
Launch the mapping app
AzimuthApp(config = NULL, ...)AzimuthApp(config = NULL, ...)
config |
Path to JSON-formatted configuration file specifying options;
for an example config file, see
|
... |
Options to set, see |
None, launches the mapping Shiny app
R options can be provided as named arguments to AzimuthApp through
dots (...), set in a config file, or set globally. Arguments provided to
AzimuthApp through dots take precedence if the same option is provided
in a config file. Options provided through dots or a config file take
precedence if the same option was set globally.
Options in the Azimuth.app namespace
can be specified using a shorthand notation in both the config file and as
arguments to AzimuthApp. For example, the option
Azimuth.app.reference can be shortened to reference in the
config file or as an argument to AzimuthApp
if (interactive()) { AzimuthApp(system.file("resources", "config.json", package = "Azimuth")) }if (interactive()) { AzimuthApp(system.file("resources", "config.json", package = "Azimuth")) }
Create a Seurat object compatible with Azimuth.
AzimuthBridgeReference( object, reference.reduction = "spca", bridge.ref.reduction = "ref.spca", bridge.query.reduction = "slsi", laplacian.reduction = "lap", refUMAP = "wnn.umap", refAssay = "SCT", dims = 1:50, plotref = "wnn.umap", plot.metadata = NULL, ori.index = NULL, colormap = NULL, assays = c("Bridge", "RNA"), metadata = NULL, reference.version = "0.0.0", verbose = FALSE )AzimuthBridgeReference( object, reference.reduction = "spca", bridge.ref.reduction = "ref.spca", bridge.query.reduction = "slsi", laplacian.reduction = "lap", refUMAP = "wnn.umap", refAssay = "SCT", dims = 1:50, plotref = "wnn.umap", plot.metadata = NULL, ori.index = NULL, colormap = NULL, assays = c("Bridge", "RNA"), metadata = NULL, reference.version = "0.0.0", verbose = FALSE )
object |
Seurat object |
refUMAP |
Name of UMAP in reference to use for mapping |
refAssay |
Name of SCTAssay to use in reference |
dims |
Dimensions to use in reference neighbor finding |
plotref |
Either the name of the DimReduc in the provided Seurat object to use for the plotting reference or the DimReduc object itself. |
plot.metadata |
A data.frame of discrete metadata fields for the cells in the plotref. |
ori.index |
Index of the cells used in mapping in the original object on which UMAP was run. Only need to provide if UMAP was run on different set of cells. |
colormap |
A list of named and ordered vectors specifying the colors and levels
for the metadata. See |
assays |
Assays to retain for transfer |
metadata |
Metadata to retain for transfer |
reference.version |
Version of the Azimuth reference |
verbose |
Display progress/messages |
refDR |
Name of DimReduc in reference to use for mapping |
k.param |
Defines k for the k-nearest neighbor algorithm |
Returns a Seurat object with AzimuthData stored in the tools slot for use with Azimuth.
The AzimuthData class is used to store reference info needed for Azimuth
plotrefDimReduc object containing UMAP for plotting and projection. This should also contain the cell IDs in the misc slot
colormapVector of id-color mapping for specifying the plots.
seurat.versionVersion of Seurat used in reference construction
azimuth.versionVersion of Azimuth used in reference construction
reference.versionVersion of the Azimuth reference
Create a Seurat object compatible with Azimuth.
AzimuthReference( object, refUMAP = "umap", refDR = "spca", refAssay = "SCT", dims = 1:50, k.param = 31, plotref = "umap", plot.metadata = NULL, ori.index = NULL, colormap = NULL, assays = NULL, metadata = NULL, reference.version = "0.0.0", verbose = FALSE )AzimuthReference( object, refUMAP = "umap", refDR = "spca", refAssay = "SCT", dims = 1:50, k.param = 31, plotref = "umap", plot.metadata = NULL, ori.index = NULL, colormap = NULL, assays = NULL, metadata = NULL, reference.version = "0.0.0", verbose = FALSE )
object |
Seurat object |
refUMAP |
Name of UMAP in reference to use for mapping |
refDR |
Name of DimReduc in reference to use for mapping |
refAssay |
Name of SCTAssay to use in reference |
dims |
Dimensions to use in reference neighbor finding |
k.param |
Defines k for the k-nearest neighbor algorithm |
plotref |
Either the name of the DimReduc in the provided Seurat object to use for the plotting reference or the DimReduc object itself. |
plot.metadata |
A data.frame of discrete metadata fields for the cells in the plotref. |
ori.index |
Index of the cells used in mapping in the original object on which UMAP was run. Only need to provide if UMAP was run on different set of cells. |
colormap |
A list of named and ordered vectors specifying the colors and levels
for the metadata. See |
assays |
Assays to retain for transfer |
metadata |
Metadata to retain for transfer |
reference.version |
Version of the Azimuth reference |
verbose |
Display progress/messages |
Returns a Seurat object with AzimuthData stored in the tools slot for use with Azimuth.
Connect to a single-cell HDF5 dataset
Connect(filename, type = NULL, mode = c("r", "r+"), force = FALSE)Connect(filename, type = NULL, mode = c("r", "r+"), force = FALSE)
filename |
Name of on-disk file |
type |
Type of single-cell dataset to connect as; choose from:
Leave as |
mode |
Mode to connect to data as; choose from:
|
force |
Force a connection if validation steps fail; returns a
|
An object of class type, opened in mode mode
Converts gene names of query to match type/species of reference names (human or mouse).
ConvertGeneNames(object, reference.names, homolog.table)ConvertGeneNames(object, reference.names, homolog.table)
object |
Object to convert, must contain only RNA counts matrix |
reference.names |
Gene names of reference |
homolog.table |
Location of file (or URL) containing table with human/mouse homologies |
query object with converted feature names, likely subsetted
AzimuthData objectCreate an auxiliary AzimuthData object for storing necessary
info when generating an Azimuth reference.
CreateAzimuthData( object, plotref = "umap", plot.metadata = NULL, colormap = NULL, reference.version = "0.0.0" )CreateAzimuthData( object, plotref = "umap", plot.metadata = NULL, colormap = NULL, reference.version = "0.0.0" )
object |
Seurat object |
plotref |
Either the name of the DimReduc in the provided Seurat object to use for the plotting reference or the DimReduc object itself. |
plot.metadata |
A data.frame of discrete metadata fields for the cells in the plotref. |
colormap |
A list of named and ordered vectors specifying the colors and levels
for the metadata. See |
reference.version |
Version of the Azimuth reference |
Returns an AzimuthData object
Create mapping between IDs and colors to use with reference plotting in Azimuth
CreateColorMap(object, ids = NULL, colors = NULL, seed = NULL)CreateColorMap(object, ids = NULL, colors = NULL, seed = NULL)
object |
Seurat object |
ids |
Vector of IDs to link to colors |
colors |
Vector of colors to use |
seed |
Set to randomly shuffle color assignments |
A named vector of colors
Determine a filetype based on its extension
FileType(file)FileType(file)
file |
Name of file |
The extension, all lowercase
Pull ID-color mapping for Azimuth plotting
GetColorMap(object, ...) ## S3 method for class 'AzimuthData' GetColorMap(object, ...) ## S3 method for class 'Seurat' GetColorMap(object, slot = "AzimuthReference", ...)GetColorMap(object, ...) ## S3 method for class 'AzimuthData' GetColorMap(object, ...) ## S3 method for class 'Seurat' GetColorMap(object, slot = "AzimuthReference", ...)
object |
An object |
... |
Arguments passed to other methods |
slot |
Name of tool |
A named vector specifying the colors for all reference IDs
Pull DimReduc used in Azimuth plotting/projection
GetPlotRef(object, ...) ## S3 method for class 'AzimuthData' GetPlotRef(object, ...) ## S3 method for class 'Seurat' GetPlotRef(object, slot = "AzimuthReference", ...)GetPlotRef(object, ...) ## S3 method for class 'AzimuthData' GetPlotRef(object, ...) ## S3 method for class 'Seurat' GetPlotRef(object, slot = "AzimuthReference", ...)
object |
An object |
... |
Arguments passed to other methods |
slot |
Name of tool |
A DimReduc object
Get transcripts modified from Signac::GeneActivity
GetTranscripts( object, assay = NULL, features = NULL, extend.upstream = 2000, extend.downstream = 0, biotypes = "protein_coding", max.width = 5e+05, process_n = 2000, gene.id = FALSE, verbose = TRUE )GetTranscripts( object, assay = NULL, features = NULL, extend.upstream = 2000, extend.downstream = 0, biotypes = "protein_coding", max.width = 5e+05, process_n = 2000, gene.id = FALSE, verbose = TRUE )
object |
A Seurat object |
assay |
Name of assay to use. If NULL, use the default assay |
features |
Genes to include. If NULL, use all protein-coding genes in the annotations stored in the object |
extend.upstream |
Number of bases to extend upstream of the TSS |
extend.downstream |
Number of bases to extend downstream of the TTS |
biotypes |
Gene biotypes to include. If NULL, use all biotypes in the gene annotation. |
max.width |
Maximum allowed gene width for a gene to be quantified. Setting this parameter can avoid quantifying extremely long transcripts that can add a relatively long amount of time. If NULL, do not filter genes based on width. |
process_n |
Number of regions to load into memory at a time, per thread. Processing more regions at once can be faster but uses more memory. |
gene.id |
Record gene IDs in output matrix rather than gene name. |
verbose |
Transcripts
Read in a precomputed extended reference. This function can
read either from URLs or a file path. The function looks for a file
called ext.Rds for the extended reference Seurat object
LoadBridgeReference(path, seconds = 10L)LoadBridgeReference(path, seconds = 10L)
path |
Path or URL to the RDS file |
seconds |
Timeout to check for URLs in seconds |
A list with two entries:
mapThe extended reference Seurat
object
plotThe reference Seurat object (for plotting)
## Not run: # Load from a URL ref <- LoadBridgeReference("https://seurat.nygenome.org/references/pbmc") # Load a file from the path to a directory ref2 <- LoadBridgeReference("path/") # Load a file directly ref3 <- LoadBridgeReference("ext.Rds") ## End(Not run)## Not run: # Load from a URL ref <- LoadBridgeReference("https://seurat.nygenome.org/references/pbmc") # Load a file from the path to a directory ref2 <- LoadBridgeReference("path/") # Load a file directly ref3 <- LoadBridgeReference("ext.Rds") ## End(Not run)
Seurat objectTake a file and load it into a Seurat object. Supports
a variety of file types and always returns a Seurat object
LoadFileInput(path, bridge = FALSE)LoadFileInput(path, bridge = FALSE)
path |
Path to input data |
LoadFileInput supports several file types to be read in as
Seurat objects. File type is determined by extension, matched in a
case-insensitive manner See sections below for details about supported
filtypes, required extension, and specifics for how data is loaded
A Seurat object
h5)10X HDF5 files are supported for all versions of Cell Ranger; data is read
in using Read10X_h5. Note: for multi-modal
10X HDF5 files, only the first matrix is read in
rds)Rds files are supported as long as they contain one of the following data types:
A Seurat V3 object
An S4 Matrix object
An S3 matrix object
A data.frame object
For S4 Matrix, S3 matrix, and data.frame objects, a
Seurat object will be made with
CreateSeuratObject using the default arguments
h5seurat)h5Seurat files and all of their features are fully supported. They are read
in via LoadH5Seurat. Note: only the
“counts” matrices are read in and only the default assay is kept
h5ad)Only H5AD files from AnnData v0.7 or higher are supported. Data is read from the H5AD file in the following manner
The counts matrix is read from “/raw/X”; if “/raw/X” is not present, the matrix is read from “/X”
Feature names are read from feature-level metadata. Feature level
metadata must be an HDF5 group, HDF5 compound datasets are not
supported. If counts are read from /raw/X, features names are looked
for in “/raw/var”; if counts are read from “/X”, features
names are looked for in “/var”. In both cases, feature names are read
from the dataset specified by the “_index” attribute, “_index”
dataset, or “index” dataset, in that order
Cell names are read from cell-level metadata. Cell-level metadata must be an HDF5 group, HDF5 compound datasets are not supported. Cell-level metadata is read from “/obs”. Cell names are read from the dataset specified by the “_index” attribute, “_index” dataset, or “index” dataset, in that order
Cell-level metadata is read from the “/obs” dataset. Columns will be returned in the same order as in the “column-order”, if present, or in alphabetical order. If a dataset named “__categories” is present, then all datasets in “__categories” will serve as factor levels for datasets present in “/obs” with the same name (eg. a dataset named “/obs/__categories/leiden” will serve as the levels for “/obs/leiden”). Row names will be set as cell names as described above. All datasets in “/obs” will be loaded except for “__categories” and the cell names dataset
Read in only the metadata of an H5AD file and return a data.frame object
LoadH5ADobs(path, cell.groups = NULL)LoadH5ADobs(path, cell.groups = NULL)
Read in a reference Seurat object and annoy index. This
function can read either from URLs or a file path. In order to read properly,
there must be the following files:
“ref.Rds” for the downsampled reference Seurat
object (for mapping)
“idx.annoy” for the nearest-neighbor index object
LoadReference(path, seconds = 10L)LoadReference(path, seconds = 10L)
path |
Path or URL to the two RDS files |
seconds |
Timeout to check for URLs in seconds |
A list with two entries:
mapThe downsampled reference Seurat
object (for mapping)
plotThe reference Seurat object (for plotting)
## Not run: # Load from a URL ref <- LoadReference("https://seurat.nygenome.org/references/pbmc") # Load from a directory ref2 <- LoadReference("/var/www/html") ## End(Not run)## Not run: # Load from a URL ref <- LoadReference("https://seurat.nygenome.org/references/pbmc") # Load from a directory ref2 <- LoadReference("/var/www/html") ## End(Not run)
Pull the reference version information
ReferenceVersion(object, ...) ## S3 method for class 'AzimuthData' ReferenceVersion(object, ...) ## S3 method for class 'Seurat' ReferenceVersion(object, slot = "AzimuthReference", ...)ReferenceVersion(object, ...) ## S3 method for class 'AzimuthData' ReferenceVersion(object, ...) ## S3 method for class 'Seurat' ReferenceVersion(object, slot = "AzimuthReference", ...)
object |
Seurat or AzimuthData object |
... |
Not used |
slot |
Name of the version to pull. Can be "seurat.version", "azimuth.version", or "reference.version". |
A character string specifying the reference version
Run Azimuth annotation
## S3 method for class 'Seurat' RunAzimuth( query, reference, query.modality = "RNA", annotation.levels = NULL, umap.name = "ref.umap", do.adt = FALSE, verbose = TRUE, assay = NULL, k.weight = 50, n.trees = 20, mapping.score.k = 100, ... ) ## S3 method for class 'character' RunAzimuth(query, ...) RunAzimuth(query, ...)## S3 method for class 'Seurat' RunAzimuth( query, reference, query.modality = "RNA", annotation.levels = NULL, umap.name = "ref.umap", do.adt = FALSE, verbose = TRUE, assay = NULL, k.weight = 50, n.trees = 20, mapping.score.k = 100, ... ) ## S3 method for class 'character' RunAzimuth(query, ...) RunAzimuth(query, ...)
query |
Seurat object or following type of path:
|
reference |
Name of reference to map to or a path to a directory containing ref.Rds and idx.annoy |
annotation.levels |
list of annotation levels to map. If not specified, all will be mapped. |
umap.name |
name of umap reduction in the returned object |
do.adt |
transfer ADT assay |
assay |
query assay name |
Seurat object with reference reductions and annotations
Returns a Seurat object containing celltype annotations
Run Azimuth annotation for ATAC query
## S3 method for class 'Seurat' RunAzimuthATAC( query, reference, fragment.path = NULL, annotation.levels = NULL, umap.name = "ref.umap", verbose = TRUE, assay = NULL, k.weight = 50, n.trees = 20, mapping.score.k = 100, dims.atac = 2:50, dims.rna = 1:50 ) ## S3 method for class 'character' RunAzimuthATAC(query, ...) RunAzimuthATAC(query, ...)## S3 method for class 'Seurat' RunAzimuthATAC( query, reference, fragment.path = NULL, annotation.levels = NULL, umap.name = "ref.umap", verbose = TRUE, assay = NULL, k.weight = 50, n.trees = 20, mapping.score.k = 100, dims.atac = 2:50, dims.rna = 1:50 ) ## S3 method for class 'character' RunAzimuthATAC(query, ...) RunAzimuthATAC(query, ...)
query |
Seurat object or following type of path:
|
reference |
Name of reference to map to or a path to a directory containing ext.Rds |
annotation.levels |
list of annotation levels to map. If not specified, all will be mapped. |
umap.name |
name of umap reduction in the returned object |
assay |
query assay name |
dims.atac |
dimensions |
dims.rna |
dimensions |
do.adt |
transfer ADT assay |
Seurat object with reference reductions and annotations
Returns a Seurat object containing celltype annotations
Azimuth references and neighbors index to same folderSave Azimuth references and neighbors index to same folder
SaveAzimuthReference(object = NULL, folder = NULL)SaveAzimuthReference(object = NULL, folder = NULL)
object |
An |
file |
Path to save |
... |
Arguments passed on to
|
Invisibly returns file
# Make Azimuth Reference object obj.azimuth <- AzimuthReference(object) # Save SaveAzimuthReference(object = obj.azimuth, folder = "azimuth_reference") # Run Azimuth query <- RunAzimuth(query = query, reference = "azimuth_reference", ...)# Make Azimuth Reference object obj.azimuth <- AzimuthReference(object) # Save SaveAzimuthReference(object = obj.azimuth, folder = "azimuth_reference") # Run Azimuth query <- RunAzimuth(query = query, reference = "azimuth_reference", ...)
Set ID-color mapping for Azimuth plotting
SetColorMap(object, ...) ## S3 method for class 'AzimuthData' SetColorMap(object, value, ...) ## S3 method for class 'Seurat' SetColorMap(object, slot = "AzimuthReference", value, ...)SetColorMap(object, ...) ## S3 method for class 'AzimuthData' SetColorMap(object, value, ...) ## S3 method for class 'Seurat' SetColorMap(object, slot = "AzimuthReference", value, ...)
object |
An object |
... |
Arguments passed to other methods |
value |
New colormap to assign |
slot |
Name of tool |
An object with the colormap slot set
Validate aspects of a Seurat object to be used as an Azimuth reference
ValidateAzimuthReference(object, ad.name = "AzimuthReference")ValidateAzimuthReference(object, ad.name = "AzimuthReference")
object |
Seurat object |
ad.name |
Name in the tools slot containing the AzimuthData object. |
No return value