Recent efforts to construct reference maps of cellular phenotypes have expanded the
volume and diversity of single-cell omics data, providing an unprecedented resource for …

Imaging-based spatial transcriptomics (ST) provides single-transcript-level spatial resolution
for hundreds of genes, unlike sequencing-based ST technologies whose resolution is …

The current state-of-the-art single-cell pre-trained models are greatly inspired by the success
of large language models. They trained transformers by treating genes as tokens and cells …

Spatially resolved transcriptomics represents a significant advancement in single-cell
analysis by offering both gene expression data and their corresponding physical locations …

The rapid advancement of single-cell technologies allows for simultaneous measurement of
multiple molecular features within individual cells, providing unprecedented multimodal data …

Comparative analysis of brain patterns across species can advance understanding of
different biological processes and functions. Spatially resolved transcriptomics (SRT) …