Decoding intercellular activities for more than 1,000 secreted proteins

TL;DR - SecAct is a computational framework for inferring signaling activity among 1,170 human secreted proteins from transcriptomic data. It enables systematic study of protein-mediated intercellular communication across tissues and diseases.

• Supports spatial, single-cell, and bulk transcriptomic datasets.
• Focuses on secreted-protein-mediated signaling between cells.
• Can analyze communication patterns across tissue and disease cohorts.