Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning

scGAC: a graph attentional architecture for clustering single-cell RNA-seq data

(2022) Yi Cheng et al.   BIOINFORMATICS

scVAE: Variational auto-encoders for single-cell gene expression data

(2020) Christopher Heje Grønbech et al.   BIOINFORMATICS

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Challenges in unsupervised clustering of single-cell RNA-seq data

(2019) Vladimir Yu Kiselev et al.   NATURE REVIEWS GENETICS

Single-cell RNA-seq denoising using a deep count autoencoder

(2019) Gökcen Eraslan et al.   Nature Communications

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

(2018) David van Dijk et al.   CELL

SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning

(2018) Bo Wang et al.   PROTEOMICS