test.deconv.metrics

test.deconv.metrics,DeconvDLModel-method

test.deconv.metrics&lt;-

test.deconv.metrics&lt;-,DeconvDLModel-method

Get and set <code>test.deconv.metrics</code> slot in a
<code>DeconvDLModel</code> object

Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2024) <doi:10.1093/bioinformatics/btae072> to get an overview of the method and see some examples of its performance.

Diego Ma<c3><b1>anes

SpatialDDLS

Deconvolution of Spatial Transcriptomics Data Based on Neural
Networks

Diego Mañanes

Carlos Torroja

Fatima Sanchez-Cabo

test.deconv.metrics function

<dl><dt>object</dt>
<dd><code>DeconvDLModel</code> object.</dd>
<dt>metrics</dt>
<dd>Metrics to show (<code>'All'</code> by default)</dd>
<dt>value</dt>
<dd>List with evaluation metrics to assess the performance of the
model on each sample of test data.</dd></dl>

Arguments

Get and set test.deconv.metrics slot in a
DeconvDLModel object — test.deconv.metrics

<dl>

<dt>object</dt>
<dd><code>DeconvDLModel</code> object.</dd>


<dt>metrics</dt>
<dd>Metrics to show (<code>'All'</code> by default)</dd>


<dt>value</dt>
<dd>List with evaluation metrics to assess the performance of the
model on each sample of test data.</dd>

</dl>

test.deconv.metrics: Get and set `test.deconv.metrics` slot in a `DeconvDLModel` object

Description

Usage

Arguments