Tag: cell clustering

A new graph autoencoder framework called SPICEiST enhances cell clustering in imaging-based spatial transcriptomics by integrating subcellular RNA patterns with ...

A new open-access framework called scCIF adaptively fuses single-cell multi-omics data and outperformed competing methods on eight public datasets.

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...