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viewmastR functions

Main functions used in wiewmastR

viewmastR()
Run viewmastR using the new Rust implementation
viewmastR_infer()
Function to infer cell labels using a trained model
augment_data()
Augment data
splat_bulk_reference()
Bulk reference
confusion_matrix()
Confusion matrix
plot_training_data()
Training data plot
make3file()
Export Seurat Object Data to 10X-Style Format with Optional Reductions

Additional functions

Helper functions to add or modify elements

calculate_gene_dispersion()
Calculate dispersion genes in a cell_data_set object
select_genes()
Select genes in a cell_data_set for dimensionality reduction
common_features()
Finds common features in a list of single cell objects
common_variant_genes()
Common Variant Genes
sparseRowVariances()
Helper function for summing sparse matrix groups
writeMMgz()
Write a compressed MatrixMarket file
viewmastR-package
viewmastR: Automated single-cell genomic cell type assignment