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相关概念视频

Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
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相关实验视频

Updated: Jun 26, 2025

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array
07:19

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Published on: September 7, 2018

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可视化单细胞数据与邻近的嵌入频谱.

Sebastian Damrich, Manuel V Klockow, Philipp Berens

    bioRxiv : the preprint server for biology
    |May 15, 2024
    PubMed
    概括
    此摘要是机器生成的。

    t分布式静态邻居嵌入 (t-SNE) 和统一多重近似和投影 (UMAP) 通过单个参数连接在一起,创建了一系列可视化方法. 这种光谱允许对单细胞数据进行细微的理解,平衡局部结构和连续变异.

    科学领域:

    • 计算生物学 计算生物学
    • 机器学习 机器学习

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  • 数据可视化 数据可视化

    • 背景情况:

    • t分布式静态邻居嵌入 (t-SNE) 和统一多重近似和投影 (UMAP) 广泛用于可视化高维单细胞数据.
    • 这些方法,尽管表述不同,但在理论上是相关的.
    • 一个参数可以在t-SNE和UMAP之间进行插值,揭示了一系列可视化技术.

    结论:

    • 通过参数光谱对t-SNE和UMAP的统一视图可以增强单细胞数据可视化.
    • 这种方法提供了灵活性来强调不同的数据方面,有助于生物学解释.
    • 频谱的动画可视化为复杂的高维数据集提供了更深入的见解.