Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics | Towards Data Science
The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcrip...
Source: Towards Data Science
The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing genomics by enabling the high-throughput measurement of gene expression while preserving spatial context. Unlike single-cell RNA sequencing (scRNA-seq), which captures transcriptomes […]
