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在单细胞分辨率下绘制基因空间,使用基因信号模式分析

Aarthi Venkat1, Sam Leone2, Scott E Youlten3

  • 1Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA.

Nature computational science
|December 20, 2024
PubMed
概括

这项研究引入了基因信号模式分析 (GSPA),一种新的方法,可以从单细胞数据中创建基因嵌入. GSPA有效地捕捉了用于各种生物分析的基因模式,提高了对基因功能和相互作用的理解.

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DNA Microarrays02:34

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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