model

model,DigitalDLSorterDNN-method

model&lt;-

model&lt;-,DigitalDLSorterDNN-method

Get and set <code>model</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

model function

<dl><dt>object</dt>
<dd><code>DigitalDLSorterDNN</code> object.</dd>
<dt>value</dt>
<dd><code>keras.engine.sequential.Sequential</code> object with a
trained Deep Neural Network model.</dd></dl>

Arguments

Get and set model slot in a
DigitalDLSorterDNN object — model

<dl>

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


<dt>value</dt>
<dd><code>keras.engine.sequential.Sequential</code> object with a
trained Deep Neural Network model.</dd>

</dl>

model: Get and set `model` slot in a `DigitalDLSorterDNN` object

Description

Usage

Arguments