
Package index
-
set_cibersort_binary() - Set Path to CIBERSORT R script (
CIBERSORT.R)
-
set_cibersort_mat() - Set Path to CIBERSORT matrix file (
LM22.txt)
-
anndata_to_singlecellexperiment() - Convert AnnData to SingleCellExperiment
-
anndata_to_spatialexperiment() - Convert AnnData to SpatialExperiment
-
seurat_to_spatialexperiment() - Convert Seurat to SpatialExperiment
-
subsetSCE() - Subset a SingleCellExperiment by Cell Type
-
subsetSPE() - Isolate Regions within a SpatialExperiment Object
-
spe_to_ad() - Convert Spatial Experiment to AnnData
-
deconvolution_methods - List of supported deconvolution methods
-
preprocess() - Preprocess Single Cell and Spatial Data for analysis in spacedeconv
-
normalize() - Normalize Gene Expression Data in SingleCellExperiment or SpatialExperiment Objects
-
build_model() - Build a reference signature
-
deconvolute() - Deconvolution with spacedeconv
-
build_and_deconvolute() - Build Model and Deconvolute in one step
-
available_results() - Check wich deconvolutionr results are available in a SpatialExperiment object
-
build_model_card() - No signature calculated, just call the deconvolute method
-
build_model_cell2location() - Build Model Cell2location
-
build_model_dot() - No signature calculated, just call the deconvolute method
-
build_model_immunedeconv() - No signature calculated, just call the deconvolute method
-
build_model_omnideconv() - Build Reference
-
build_model_rctd() - RCTD builds the model internally, please just use the deconvolute method
-
build_model_spatial_dwls() - Build Model Spatial DWLS
-
build_model_spotlight() - Build Model SPOTlight
-
deconvolute_card() - Deconvolute CARD
-
deconvolute_cell2location() - Deconvolute Cell2location
-
deconvolute_dot() - Deconvolute DOT
-
deconvolute_immunedeconv() - Deconvolute Immundeconv
-
deconvolute_immunedeconv_mouse() - Deconvolute Immunedeconv mouse
-
deconvolute_omnideconv() - Deconvolute Omnideconv
-
deconvolute_rctd() - RCTD Deconvolution
-
deconvolute_spatial_dwls() - Deconvolute Spatial DWLS
-
deconvolute_spotlight() - Deconvolute SPOTlight
-
plot_gene() - Function to plot gene expression
-
plot_spatial() - Function to plot deconvolution results
-
plot_celltype() - Function to plot deconvolution results
-
plot_umi_count() - Function to plot deconvolution results
-
plot_ndetected_genes() - Plot number of detected genes
-
plot_most_abundant() - Function to plot deconvolution results
-
plot_comparison() - Plot celltype fraction comparison
-
plot_scatter() - Comparative Scatterplot of Two SpatialExperiments
-
plot_overview() - Plot Overview of a SpatialExperiment
-
single_cell_data_1 - Example single cell dataset 1 from Wu et al.
-
single_cell_data_2 - Example single cell dataset 2 from Wu et al.
-
single_cell_data_3 - Example single cell dataset 3 from Wu et al.
-
single_cell_data_4 - Example single cell dataset 4 from Wu et al.
-
spatial_data_1 - Example spatial dataset 1 from Wu et al.
-
spatial_data_2 - Example spatial dataset 2 from Wu et al.
-
spatial_data_3 - Example spatial dataset 3 from Wu et al.
-
spatial_data_4 - Example spatial dataset 4 from Wu et al.
-
aggregate_results() - Aggregate Deconvolution Results
-
annotate_spots() - Annotate Specific Spots within a SpatialExperiment Object
-
addCustomAnnotation() - Extend a SpatialExperiment with a New Annotation Column
-
cluster() - Cluster spacedeconv results
-
get_cluster_features() - Get cluster features
-
print_info() - Print info about dataset
-
filter_sample_id() - Filter SPE to contain only one sample ID
-
compare_signatures() - Compare Signatures
-
convert_human_to_mouse() - map human to mouse genes
-
convert_mouse_to_human() - map mouse to human genes
-
spatialcorr() - create a correlation plot
-
get_lr() - Compute L-R score for each spot
-
gene_set_score() - Calculate Gene Set Score
-
scale_cell_counts() - Scale relative cell fractions to absolute by providing cell densities
-
corr_expr() - Heatmap correlation of cell types based on gene expression values
-
get_decoupleR_reference() - Fetch Pathway or Transcription Factor Signatures from decoupleR
-
compute_activities() - Compute Pathway and Transcription Factor Activities and integrate into SpatialExperiment Using decoupleR