Embedding and Clustering with Alignment for Spatial Datasets


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Documentation for package ‘PRECAST’ version 1.6.5

Help Pages

AddAdjList Add adjacency matrix list for a PRECASTObj object
AddParSetting Add model settings for a PRECASTObj object
AddTSNE Add tSNE embeddings for a Seurat object
AddUMAP Add UMAP embeddings for a Seurat object
Add_embed Add embeddings for a Seurat object
boxPlot Boxplot for a matrix
chooseColors Choose color schema from a palette
coordinate_rotate Coordinates rotation for visualization
CreatePRECASTObject Create the PRECAST object with preprocessing step.
dimPlot Low-dimensional embeddings' plot
doHeatmap Heatmap for spots-by-feature matrix
drawFigs Draw a figure using a group of ggplot objects
featurePlot Spatial expression heatmap
firstup Set the first letter of a string vector to captial
getAdj_fixedNumber Calculate adjacency matrix by user-specified number of neighbors
getAdj_reg Calculate adjacency matrix for regular spatial coordinates.
Human_HK_genes Human housekeeping genes database
ICM.EM ICM-EM algorithm implementation
ICM.EM_structure ICM-EM algorithm implementation with organized paramters
IntegrateSpaData Integrate multiple SRT data
model_set PRECAST model setting
Mouse_HK_genes Mouse housekeeping genes database
plot_RGB Spatial RGB heatmap
plot_scatter Scatter plot for two-dimensional embeddings
PRECAST Fit a PRECAST model
PRECASTObj A simple PRECASTObj for example
PRECASTObj-class Each PRECASTObj object has a number of slots which store information.
selectIntFeatures Select common genes for multiple data batches
SelectModel Select best PRECAST model from candidated models
SelectModel.PRECASTObj Select best PRECAST model from candidated models
SelectModel.SeqK_PRECAST_Object Select best PRECAST model from candidated models
SpaPlot Spatial heatmap
volinPlot Volin/boxplot plot