🚀 We’re excited to share that our latest paper is now published in NAR Genomics and Bioinformatics: Differential cellular communication inference framework for large-scale single-cell RNA-sequencing data, https://doi.org/10.1093/nargab/lqaf084
We introduce a novel computational framework tailored for analyzing and interpreting differential cell–cell communication in complex, large-scale scRNA-seq datasets. The framework incorporates two tools: scSeqCommDiff, which identifies and characterizes alterations in cell–cell communication in a fast and memory-efficient manner, and CClens, which facilitates interpretation and exploration through an interactive R/Shiny interface.ì
What’s new?
đź‘Ą Works across diverse experimental designs
🔍 Captures both intercellular and intracellular signaling
đź“Š Designed for big data: fast and memory-efficient
🖥️ Comes with an interactive Shiny app for easy and insightful exploration
Explore the tools:
đź”— https://gitlab.com/sysbiobig/scseqcomm
đź”— https://gitlab.com/sysbiobig/cclens