cell.names

cell.names,ProbMatrixCellTypes-method

cell.names&lt;-

cell.names&lt;-,ProbMatrixCellTypes-method

Get and set <code>cell.names</code> slot in a
<code>ProbMatrixCellTypes</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

cell.names function

<dl><dt>object</dt>
<dd><code>ProbMatrixCellTypes</code> object.</dd>
<dt>value</dt>
<dd>Matrix containing the name of the pseudo-bulk samples to be
simulated as rows and the cells to be used to simulate them as columns
(<code>n.cell</code> argument)</dd></dl>

Arguments

Get and set cell.names slot in a
ProbMatrixCellTypes object — cell.names

<dl>

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


<dt>value</dt>
<dd>Matrix containing the name of the pseudo-bulk samples to be
simulated as rows and the cells to be used to simulate them as columns
(<code>n.cell</code> argument)</dd>

</dl>

cell.names: Get and set `cell.names` slot in a `ProbMatrixCellTypes` object

Description

Usage

Arguments