Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning
Yuzhou Chang, Fei He, Juexin Wang, Shuo Chen, Jingyi Li, Jixin Liu, Yang Yu, Li Su, Anjun Ma, Carter Allen, Yu Lin, Shaoli Sun, Bingqiang Liu, José Javier Otero, Dongjun Chung, , Qin Ma
RESEPT uses deep learning to visualize and characterize tissue architecture from spatial transcriptomics data, revealing pathological structures in Alzheimer's and glioblastoma samples.
Computational and Structural Biotechnology Journal · Jan 1, 2022Peer-reviewedBioinformatics