EraseRawCCI

EraseRawCCI,scDiffCom-method

This function will replace <code>cci_table_raw</code> by an empty list. Useful to
save space for large datasets. However, after this operation,
no filtering can be re-run on the new object, meaning that obtaining
results for different filtering parameters will require the perform the full
analysis from scratch.

Analysis tools to investigate changes in intercellular
communication from scRNA-seq data. Using a Seurat object as input,
the package infers which cell-cell interactions are present in the dataset
and how these interactions change between two conditions of interest
(e.g. young vs old). It relies on an internal database of ligand-receptor
interactions (available for human, mouse and rat) that have been gathered
from several published studies. Detection and differential analyses
rely on permutation tests. The package also contains several tools
to perform over-representation analysis and visualize the results. See
Lagger, C. et al. (2023) <doi:10.1038/s43587-023-00514-x> for a full
description of the methodology.

Cyril Lagger

scDiffCom

Differential Analysis of Intercellular Communication from
scRNA-Seq Data

Eugen Ursu

Anais Equey

EraseRawCCI function

<dl><dt>object</dt>
<dd><code>scDiffCom</code> object</dd></dl>

Arguments

Create a copy of a scDiffCom object without cci_table_raw — EraseRawCCI

<dl>

<dt>object</dt>
<dd><code>scDiffCom</code> object</dd>

</dl>

EraseRawCCI: Create a copy of a scDiffCom object without `cci_table_raw`

Description

Usage

Value

Arguments