An implementation of neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. See Chamberlain M et al. (2021) <doi:10.1101/2021.02.01.429207> for more details.

Cell Type Identification and Discovery from Single Cell Gene
Expression Data

package-ubuntu-20.04-r-4.0.5#cran#SignacX-2.2.0

<table summary="R argblock"><tr valign="top">
<td><code>P</code></td>
<td>
<p>A character vector of cell type labels</p>
</td>
</tr></table>

<p>A vector of HEX colors for each category of cell type labels
</p>

package-ubuntu-20.04-r-4.0.5#cran#SignacX-2.2.0#docs#get_colors

get_colors

Description

Usage

Arguments

Value

SignacX

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