loadTrainedModelFromH5

Load from an HDF5 file a trained Deep Neural Network model into a
<code>DigitalDLSorter</code> object. Note that HDF5 file must be a
valid trained model (keras 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

loadTrainedModelFromH5 function

<dl><dt>object</dt>
<dd><code>DigitalDLSorter</code> object with
<code>trained.model</code> slot.</dd>
<dt>file.path</dt>
<dd>Valid file path where the model are stored.</dd>
<dt>reset.slot</dt>
<dd>Deletes <code>trained.slot</code> if it already exists. A new
<code>DigitalDLSorterDNN</code> object will be formed, but will not
contain other slots (<code>FALSE</code> by default).</dd></dl>

Arguments

Load from an HDF5 file a trained Deep Neural Network model into a
DigitalDLSorter object — loadTrainedModelFromH5

<dl>

<dt>object</dt>
<dd><code>DigitalDLSorter</code> object with
<code>trained.model</code> slot.</dd>


<dt>file.path</dt>
<dd>Valid file path where the model are stored.</dd>


<dt>reset.slot</dt>
<dd>Deletes <code>trained.slot</code> if it already exists. A new
<code>DigitalDLSorterDNN</code> object will be formed, but will not
contain other slots (<code>FALSE</code> by default).</dd>

</dl>

loadTrainedModelFromH5: Load from an HDF5 file a trained Deep Neural Network model into a `DigitalDLSorter` object

Description

Usage

Value

Arguments

See Also