Model Architecture Analysis and Implementation of TENET for Cell-Cell Interaction Network Reconstruction Using Spatial Transcriptomics Data

Cellular communication relies on the intricate interplay of signaling molecules, which come together to form the cell-cell interaction (CCI) network that orchestrates tissue behavior. Researchers have shown that shallow neural networks can effectively reconstruct the CCI from the abundant molecular data captured in spatial transcriptomics (ST). However, in scenarios characterized by sparse connections and excessive noise within the CCI, shallow networks are often susceptible to …