zinbwave.model

zinbwave.model,ZinbParametersModel-method

zinbwave.model&lt;-

zinbwave.model&lt;-,ZinbParametersModel-method

Get and set <code>zinbwave.model</code> slot in a
<code>ZinbParametersModel</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

zinbwave.model function

<dl><dt>object</dt>
<dd><code>ZinbParametersModel</code> object.</dd>
<dt>value</dt>
<dd><code>ZinbModel</code> object with the estimated
parameters to simulate new single-cell profiles.</dd></dl>

Arguments

Get and set zinbwave.model slot in a
ZinbParametersModel object — zinbwave.model

<dl>

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


<dt>value</dt>
<dd><code>ZinbModel</code> object with the estimated
parameters to simulate new single-cell profiles.</dd>

</dl>

zinbwave.model: Get and set `zinbwave.model` slot in a `ZinbParametersModel` object

Description

Usage

Arguments