 Single-cell methods record molecule expressions of cells in a given tissue, but understanding interactions between cells remains challenging. Here the authors show, by applying systems biology and machine learning approaches that they can infer and analyze cell-cell communication networks in an easily interpretable way. This article was authored by Suochin Jin, Christian F. Guerrero-Huiz, Li Huajong, and others.