Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.

Core Utilities for Single-Cell RNA-Seq

package-ubuntu-20.04-r-4.0.5#cran#sccore-0.1.3

<p>convert character vector into a factor with names "values" and "levels"
</p>

<table summary="R argblock"><tr valign="top">
<td><code>vals</code></td>
<td>
<p>vector of values to evaluate</p>
</td>
</tr></table>

<p>factor with names "values" and "levels"
</p>

package-ubuntu-20.04-r-4.0.5#cran#sccore-0.1.3#docs#as_factor

as_factor

Description

Usage

Arguments

Value

sccore

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