A review of recent advances in spatially resolved transcriptomics data analysis

The increasing significance of spatial organization and our understanding of molecular characteristics have greatly contributed to technological advancements in spatially resolved transcriptomics (SRT). Its development provides a new perspective to explore the spatial specificity of gene expression, which assists in revealing the interactions between tissues and cells, along with abnormal gene expression patterns in disease development, further enhancing our comprehension of gene regulation mechanisms in organisms. The main purpose of this review is to introduce some of the latest developments in the analysis and development of spatial transcriptomics data, and emphasize their current research approaches in spatial clustering, spatial trajectory inference, identification of spatially variable genes, cell–cell/gene–gene interaction, batch effect correction and gene expression denoising.