With the emergence of advanced spatial transcriptomic technologies, there has been a surge in research papers dedicated to analyzing spatial transcriptomics data, resulting in significant contributions to our understanding of biology. The initial stage of downstream analysis of spatial transcriptomic data has centered on identifying spatially variable genes (SVGs) or genes expressed with specific spatial patterns across the tissue. SVG detection is an important task since many downstream analyses depend on these selected SVGs. Over the past few years, a plethora of new methods have been proposed for the detection of SVGs, accompanied by numerous innovative concepts and discussions. This article provides a selective review of methods and their practical implementations, offering valuable insights into the current literature in this field.

中文翻译：

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空间转录组学中空间可变基因检测的最新进展

随着先进的空间转录组技术的出现，致力于分析空间转录组数据的研究论文激增，为我们对生物学的理解做出了重大贡献。空间转录组数据下游分析的初始阶段集中于识别空间可变基因（SVG）或在组织中以特定空间模式表达的基因。SVG 检测是一项重要任务，因为许多下游分析都依赖于这些选定的 SVG。在过去的几年里，人们提出了大量用于 SVG 检测的新方法，并伴随着许多创新概念和讨论。本文对方法及其实际实施进行了选择性回顾，为该领域的当前文献提供了宝贵的见解。