Bayesian Integrative Region Segmentation in Spatially Resolved Transcriptomic Studies
空间转录组研究中的贝叶斯整合区域分割
The spatially resolved transcriptomic study is a recently developed biological experiment that can measure gene expressions and retain spatial information simultaneously, opening a new avenue to characterize fine-grained tissue structures. In this article, we propose a nonparametric Bayesian method named BINRES to carry out the region segmentation for a tissue section by integrating all the three types of data generated during the study—gene expressions, spatial coordinates,…