scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
oleh: Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong Xu
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-03-01 |
Deskripsi
Single-cell RNA-Seq suffers from heterogeneity in sequencing sparsity and complex differential patterns in gene expression. Here, the authors introduce a graph neural network based on a hypothesis-free deep learning framework as an effective representation of gene expression and cell–cell relationships.