Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here we describe SpatialDE, a statistical test to identify genes with spatial patterns of expression variation from multiplexed imaging or spatial RNA-sequencing data. SpatialDE also implements 'automatic expression histology', a spatial gene-clustering approach that enables expression-based tissue histology.

中文翻译：

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SpatialDE：空间可变基因的鉴定

技术进步使得以高通量测量空间分辨基因表达成为可能。然而，尚未建立分析这些数据的方法。在这里，我们描述了 SpatialDE，这是一种统计测试，用于从多重成像或空间 RNA 测序数据中识别具有表达变异空间模式的基因。SpatialDE 还实现了“自动表达组织学”，这是一种空间基因聚类方法，可以实现基于表达的组织组织学。