A SELECTIVE REVIEW OF RECENT DEVELOPMENTS IN SPATIALLY VARIABLE GENE DETECTION FOR SPATIAL TRANSCRIPTOMICS
A SELECTIVE REVIEW OF RECENT DEVELOPMENTS IN SPATIALLY VARIABLE GENE DETECTION FOR SPATIAL TRANSCRIPTOMICS
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DOI：
10.1016/j.csbj.2024.01.016
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发表时间：
2023-11
期刊：
影响因子：
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通讯作者：
Sikta Das Adhikari;Jiaxin Yang;Jianrong Wang;Yuehua Cui
中科院分区：
文献类型：
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作者：
Sikta Das Adhikari;Jiaxin Yang;Jianrong Wang;Yuehua Cui
随着先进的空间转录学技术的出现，致力于分析空间转录学数据的研究论文激增，为我们理解生物学做出了重大贡献。空间转录数据下游分析的初始阶段集中在识别空间可变基因(SVG)或在组织中以特定空间模式表达的基因。SVG检测是一项重要的任务，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，人们提出了大量新的方法来检测SVGs，并伴随着许多创新的概念和讨论。本文选择性地回顾了方法及其实际实现，为当前该领域的文献提供了有价值的见解。
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.