filtered_lr_eg

datasets

Facilitates population-level analysis of ligand-receptor (LR) interactions
using large-scale single-cell transcriptomic data. Identifies significant LR pairs
and quantifies their interactions through correlation-based filtering and projection score
computations. Designed for large-sample single-cell studies, the package employs
statistical modeling, including linear regression, to investigate LR relationships
between cell types. It provides a systematic framework for understanding cell-cell
communication, uncovering regulatory interactions and signaling mechanisms.
Offers tools for LR pair-level, sample-level, and differential interaction analyses,
with comprehensive visualization support to aid biological interpretation.
The methodology is described in a manuscript currently under review and will be
referenced here once published or publicly available.

Zheng Gong

PopComm

Population-Level Cell-Cell Communication Analysis Tools

Mengwei Li

filtered_lr_eg function

<p>An object of class <code>data.frame</code> with 1513 rows and 11 columns.</p>

Format

Example for filtered_lr — filtered_lr_eg

Example for filtered_lr

filtered_lr_eg: Example for filtered_lr

Description

Usage

Arguments

Format