cellGeometry0.5.7 package

Geometric Single Cell Deconvolution

add_noise

Add noise to count data

adjust_library_size

Adjust count matrix by library size

cellMarkers

Identify cell markers

collapse_group

Collapse groups in cellMarkers object

comp_heatmap

Compensation heatmap

cos_similarity

Gene signature cosine similarity matrix

deconvolute

Deconvolute bulk RNA-Seq using single-cell RNA-Seq signature

diagnose

Diagnostics for cellMarker signatures

fix_bulk

Fix in missing genes in bulk RNA-Seq matrix

fix_group

Fix cellMarkers signature with no cell groups

gene_angle

Vector based best marker selection

gene2symbol

Converts ensembl gene ids to symbols

generate_samples

Generate random cell number samples

logmean

Mean Objects

mergeMarkers

Merge cellMarker signatures

metric_set

Calculate R-squared and metrics on deconvoluted cell subclasses

plot_comp

Plot compensation analysis

plot_residuals

Residuals plot

plot_set

Scatter plots to compare deconvoluted subclasses

plot_tune

Plot tuning curves

plot.qqmap

Quantile-quantile plot

quantile_map

Quantile mapping function between two scRNA-Seq datasets

rank_angle

Rank distance angles from a cosine similarity matrix

reduceNoise

Reduce noise in single-cell data

residuals.deconv

Extract Deconvolution Residuals

rstudent.deconv

Regression Deletion Diagnostics

scapply

Single-cell apply a function to a matrix split by a factor

scmean

Single-cell mean log gene expression across cell types

signature_heatmap

Gene signature heatmap

simulate_bulk

Simulate pseudo-bulk RNA-Seq

slapply

Apply a function to a big matrix by slicing

specificity_plot

Specificity plot

spillover_heatmap

Spillover heatmap

stack_plot

Stacked bar plot

summary.tune_deconv

Summarising deconvolution tuning

tune_deconv

Tune deconvolution parameters

updateMarkers

Update cellMarkers object

violin_plot

Cell subclass violin plot

Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.