metric_set

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

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

Myles Lewis

cellGeometry

Geometric Single Cell Deconvolution

Rachel Lau

metric_set function

<dl><dt>obs</dt>
<dd>Observed matrix of cell amounts with subclasses in columns and
samples in rows.</dd>
<dt>pred</dt>
<dd>Predicted (deconvoluted) matrix of cell amounts with rows and
columns matching <code>obs</code>.</dd></dl>

Arguments

Calculate R-squared and metrics on deconvoluted cell subclasses — metric_set

<dl>

<dt>obs</dt>
<dd>Observed matrix of cell amounts with subclasses in columns and
samples in rows.</dd>


<dt>pred</dt>
<dd>Predicted (deconvoluted) matrix of cell amounts with rows and
columns matching <code>obs</code>.</dd>

</dl>

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

Description

Usage

Value

Arguments

Details