scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

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 relationsh...

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Bibliographic Details
Main Authors: Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong Xu
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-22197-x

Internet

https://doi.org/10.1038/s41467-021-22197-x

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