metric_set: Calculate R-squared and metrics on deconvoluted cell...

In cellGeometry: Geometric Single Cell Deconvolution

Calculate R-squared and metrics on deconvoluted cell subclasses

Description

Calculates Pearson r-squared, R-squared and RMSE comparing subclasses in each column of obs with matching columns in deconvoluted pred. Samples are in rows. For use if ground truth is available, e.g. simulated pseudo-bulk RNA-Seq data.

Usage

metric_set(obs, pred)

Arguments

obs	Observed matrix of cell amounts with subclasses in columns and samples in rows.
pred	Predicted (deconvoluted) matrix of cell amounts with rows and columns matching obs.

Details

Pearson r-squared ranges from 0 to 1. R-squared, calculated as 1 - rss/tss, ranges from -Inf to 1.

Value

Matrix containing Pearson r-squared, R-squared and RMSE values.

cellGeometry documentation built on April 20, 2026, 1:06 a.m.