REN Liping, PAN Xianrun, LIU Tianyuan, YANG Yu, NING Lin, ZHANG Yang. Progress in Study on Intercellular Communication Prediction Methods[J]. Journal of University of Electronic Science and Technology of China, 2023, 52(5): 667-674. DOI: 10.12178/1001-0548.2023035
Citation: REN Liping, PAN Xianrun, LIU Tianyuan, YANG Yu, NING Lin, ZHANG Yang. Progress in Study on Intercellular Communication Prediction Methods[J]. Journal of University of Electronic Science and Technology of China, 2023, 52(5): 667-674. DOI: 10.12178/1001-0548.2023035

Progress in Study on Intercellular Communication Prediction Methods

  • Ligand-Receptor (L-R) interactions that mediate cell communication are essential for both physiological and pathological signaling. With the rapid development of single-cell sequencing technologies, decoding the intercellular communication network and biological function has become a focus of research. To date, many intercellular communication prediction methods and databases have been developed and provided key technical supports for researches on cell-cell communication. This study first explains the basic biological process of intercellular communication, then systematically compares representative databases, algorithms, and benchmark studies for predicting intercellular communication. Finally, this study outlines future challenges and outstanding questions in the field.
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