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Deciphering tissue structure and function using spatial transcriptomics
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DOI：10.1038/s42003-022-03175-5.png)
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摘要
En 中文
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of transcriptional levels across many genes together with the spatial positions of cells. This has led to an explosion of interest in computational methods and techniques for harnessing both spatial and transcriptional information in analysis of ST datasets. The wide diversity of approaches in aim, methodology and technology for ST provides great challenges in dissecting cellular functions in spatial contexts. Here, we synthesize and review the key problems in analysis of ST data and methods that are currently applied, while also expanding on open questions and areas of future development. Walker et al. review methods used to analyse spatial transcriptomics data and discuss open questions and areas of future development.
Keyword:
GENOME-WIDE EXPRESSION
GENE-EXPRESSION
SEQ
IDENTIFICATION
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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.1
论文数:
1.1W
被引数:
3.2W
机构
引用论文
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