No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …

Multicellular organisms are composed of diverse cell types that must coordinate their
behaviors through communication. Cell–cell communication (CCC) is essential for growth …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Spatial transcriptomic technologies and spatially annotated single-cell RNA sequencing
datasets provide unprecedented opportunities to dissect cell–cell communication (CCC) …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …

Spatial omics data are advancing the study of tissue organization and cellular
communication at an unprecedented scale. Flexible tools are required to store, integrate and …

Myocardial infarction is a leading cause of death worldwide. Although advances have been
made in acute treatment, an incomplete understanding of remodelling processes has limited …

Many methods allow us to extract biological activities from omics data using information from
prior knowledge resources, reducing the dimensionality for increased statistical power and …

Life-threatening thrombotic events and neurological symptoms are prevalent in COVID-19
and are persistent in patients with long COVID experiencing post-acute sequelae of SARS …

With the dramatic development of single-cell RNA sequencing (scRNA-seq) technologies,
the systematic decoding of cell-cell communication has received great research interest. To …