run_enrichr

This function finds the GO biological processes associated with the top n genes using enrichR

This takes spatial single-cell-type RNA-seq data (specifically designed for Slide-seq v2) that calls copy number alterations (CNAs) using pseudo-spatial binning, clusters cellular units (e.g. beads) based on CNA profile, and visualizes spatial CNA patterns. Documentation about 'SlideCNA' is included in the the pre-print by Zhang et al. (2022, <doi:10.1101/2022.11.25.517982>). The package 'enrichR' (>= 3.0), conditionally used to annotate SlideCNA-determined clusters with gene ontology terms, can be installed at <https://github.com/wjawaid/enrichR> or with install_github("wjawaid/enrichR").

Diane Zhang

SlideCNA

Calls Copy Number Alterations from Slide-Seq Data

Johanna Klughammer

Jan Watter

Broad Institute of MIT and Harvard 

run_enrichr function

<dl><dt>genes</dt>
<dd>vector of differentially expressed genes</dd>
<dt>n_genes</dt>
<dd>number of the most significantly enriched DEGs to base gene enrichment from</dd></dl>

Arguments

Subfunction to get significantly enriched GO terms given a set of signfiicant beads and genes — run_enrichr

<dl>

<dt>genes</dt>
<dd>vector of differentially expressed genes</dd>


<dt>n_genes</dt>
<dd>number of the most significantly enriched DEGs to base gene enrichment from</dd>

</dl>

run_enrichr: Subfunction to get significantly enriched GO terms given a set of signfiicant beads and genes

Description

Usage

Value

Arguments