test.deconv.metrics

test.deconv.metrics,DigitalDLSorterDNN-method

test.deconv.metrics&lt;-

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

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

Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more details.

Diego Ma<c3><b1>anes

digitalDLSorteR

Deconvolution of Bulk RNA-Seq Data Based on Deep Learning

Diego Mañanes

Carlos Torroja

Fatima Sanchez-Cabo

test.deconv.metrics function

<dl><dt>object</dt>
<dd><code>DigitalDLSorterDNN</code> object.</dd>
<dt>metrics</dt>
<dd>Metrics to show (<code>'All'</code> by default)</dd>
<dt>value</dt>
<dd>List with evaluation metrics used 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
DigitalDLSorterDNN object — test.deconv.metrics

<dl>

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


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


<dt>value</dt>
<dd>List with evaluation metrics used 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 `DigitalDLSorterDNN` object

Description

Usage

Arguments