ZinbParametersModel-class

ZinbParametersModel

The ZinbParametersModel class is a wrapper class for the
<code>ZinbModel</code> class from the zinbwave package.

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

ZinbParametersModel-class function

<dl>
<dt><code>zinbwave.model</code></dt>
<dd>A valid <code>ZinbModel</code> object.</dd></dl>

Slots

The Class ZinbParametersModel — ZinbParametersModel-class

<dl>
<dt><code>zinbwave.model</code></dt>
<dd>A valid <code>ZinbModel</code> object.</dd>


</dl>

ZinbParametersModel-class: The Class ZinbParametersModel

Description

Arguments

Slots

Details

References