scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Published in Nature Communications, 2021
Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from multiple grand challenges, including the sequencing sparsity and complex differential patterns in gene expression. We introduce the scGNN (sin…
Recommended citation: Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, et al.. (2021). "scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses" Nature Communications.
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