Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB.

Clustering on Network of Samples

package-ubuntu-20.04-r-4.0.5#cran#conos-1.4.0

<p>Get top overdispersed genes across samples
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>samples</code></td>
<td>
<p>list of pagoda2 objects</p>
</td>
</tr>
<tr valign="top">
<td><code>n.genes</code></td>
<td>
<p>number of overdispersed genes to extract</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#conos-1.4.0#docs#getOdGenesUniformly

getOdGenesUniformly

Description

Usage

Arguments

conos

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`samples`	list of pagoda2 objects
`n.genes`	number of overdispersed genes to extract