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LIANA+ provides an all-in-one framework for cell–cell communication inference

  • Daniel Dimitrov,
  • Philipp Sven Lars Schäfer,
  • Elias Farr,
  • Pablo Rodriguez-Mier,
  • Sebastian Lobentanzer,
  • Pau Badia-i-Mompel,
  • Aurelien Dugourd,
  • Jovan Tanevski,
  • Ricardo Omar Ramirez Flores,
  • Julio Saez-Rodriguez

摘要

The growing availability of single-cell and spatially resolved transcriptomics has led to the development of many approaches to infer cell–cell communication, each capturing only a partial view of the complex landscape of intercellular signalling. Here we present LIANA+, a scalable framework built around a rich knowledge base to decode coordinated inter- and intracellular signalling events from single- and multi-condition datasets in both single-cell and spatially resolved data. By extending and unifying established methodologies, LIANA+ provides a comprehensive set of synergistic components to study cell–cell communication via diverse molecular mediators, including those measured in multi-omics data. LIANA+ is accessible at https://github.com/saezlab/liana-py with extensive vignettes (https://liana-py.readthedocs.io/) and provides an all-in-one solution to intercellular communication inference.