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(): 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 a Seurat Object to 10X-Style Files

deconvolve_bulk(): Deconvolve bulk RNA-seq data using single-cell signatures

Additional functions

Helper functions to add or modify elements

calculate_feature_dispersion(): Calculate dispersion genes in a cell_data_set object

select_features(): 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

plot_deconvolution(): Plot deconvolution results

viewmastR-package: viewmastR: Automated single-cell genomic cell type assignment