Addressing multiple facets of ligand-receptor network inference including single-cell proteomics

Abstract excerpt

<h4>ABSTRACT</h4> Distinct ligand-receptor interaction (LRI) inference tools often produce markedly different results, and their performance can vary considerably across datasets. Indeed, performance is influenced by differences in experimental designs and dataset-specific features, making it difficult to establish a universal LRI tool. To address this challenge, we expanded our SingleCellSignalR Bioconductor pac...

Topics

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• Computational Biology
• Disease Susceptibility
• Gene Expression Profiling
• Gene Expression Regulation
• Gene Regulatory Networks
• Genetic Heterogeneity
• Single-Cell Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

897b78ff-2850-5ffa-ac78-83d8334154be

DOI

10.1101/2025.10.05.680519