findSubcommunities

clusters for which the resolution should be increased

target.clusters

name of clustering in the conos object to use. Either 'clustering' or 'groups' must be provided (default=NULL).

clustering

set of clusters to use. Ignored if 'clustering' is not NULL (default=NULL).

groups

function, used to find communities (default=leiden.community).

method

additional params passed to the community function

Increase resolution for a specific set of clusters

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.

findSubcommunities: Increase resolution for a specific set of clusters

Description

Usage

Arguments

Value