Package index • viewmastR

viewmastR functions

Main functions used in wiewmastR

viewmastR(): Integrate and Train Models on Reference Dataset and (Optionally) Infer on Query Datasets
viewmastR_infer(): ViewmastR inference
augment_data(): Augment data
splat_bulk_reference(): Bulk reference
confusion_matrix(): Confusion matrix
plot_training_data(): Training data plot
make3file(): Export a Seurat Object to 10X-Style Files
deconvolve_bulk(): Deconvolve bulk RNA-seq data using single-cell signatures

Helper functions to add or modify elements

calculate_feature_dispersion(): Calculate feature dispersion in a cell_data_set object
select_features(): Select features in a cell_data_set for dimensionality reduction
common_features(): Finds common features in a list of single cell objects
get_selected_features(): Get Selected Features for Ordering
plot_feature_dispersion(): Plot Feature Dispersion
set_selected_features(): Set Selected Features for Ordering
sparseRowVariances(): Helper function for summing sparse matrix groups
writeMMgz(): Write a compressed MatrixMarket file
plot_deconvolution(): Plot deconvolution results