Biocview "Spatial"

Base NanoString Experiment Class
Create Interactive Single-cell Visualizations with the 'Vitessce' JavaScript Library
Create Interactive Single-cell Visualizations with the 'Vitessce' JavaScript Library
Create Interactive Single-cell Visualizations with the 'Vitessce' JavaScript Library
Create Interactive Single-cell Visualizations with the 'Vitessce' JavaScript Library
Creates hatched patterns for scatterplots
Deconvolution of mixed cells from spatial and/or bulk gene expression data
Fit Penalised Generalised Least Squares models
Identification and analysis of miRNA sponge regulation
Identification and analysis of miRNA sponge regulation
Identification of cell-type-specific spatially variable genes accounting for excess zeros
Integrating SpatialExperiment with Simple Features in sf
Methods for imaging mass cytometry data analysis
Multiview Intercellular SpaTial modeling framework
Multiview Intercellular SpaTial modeling framework
NanoString GeoMx Tools
Reference-free Cell-Type Deconvolution of Multi-Cellular Spatially Resolved Transcriptomics Data
S4 Class for Spatially Resolved -omics Data
S4 Class for Spatially Resolved -omics Data
Scalable identification of spatially variable genes in spatially-resolved transcriptomics data
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
Spatial analysis of in situ cytometry data
Spatial Cellular Estimator for Tumors
spatialHeatmap
Spatial Image Analysis of Tissues
Spatial Overlay for Omic Data from Nanostring GeoMx Data
Spatial point data simulator for tissue images
Spatial transcriptome analyses of Nanostring's DSP data in R
Spatial transcriptomic clustering
SpotClean adjusts for spot swapping in spatial transcriptomics data
`SPOTlight`: Spatial Transcriptomics Deconvolution
stJoincount - Join count statistic for quantifying spatial correlation between clusters
Tomo-seq data analysis
Visualization functions for spatially resolved transcriptomics data