Sheng-Lin Yang

Sadgae: doubly enhanced graph autoencoder with self-adaptive cell graph for single-cell RNA-Seq clustering

SaDGAE, an unsupervised deep graph autoencoder (GAE) framework that jointly models gene expression patterns and cell–cell relationships, achieves strong and competitive clustering performance, yielding biologically interpretable clusters and accurately recovering known marker gene patterns.