Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Benchmarking sketching methods on spatial transcriptomics data.

Nucleic acids research·2026
Same author

A Composite interaction Score: Prioritizing cell-cell interactions from single-cell RNA-seq with application to pre-menopausal epithelial barriers.

Journal of advanced research·2026
Same author

A scalable, low-cost, sample hashing workflow for multiomic single-cell analysis using the Seq-Well S<sup>3</sup> platform.

Nature protocols·2026
Same author

A streamlined and comprehensive protocol for the generation and multi-omic analysis of human monocyte-derived macrophages.

BMC biotechnology·2025
Same author

Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.

PLoS computational biology·2025
Same author

Multiomic analysis reveals that polyamines alter G. vaginalis-induced cervicovaginal epithelial cell dysfunction.

bioRxiv : the preprint server for biology·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.9K

随机空间PCA (RASP):一种计算效率高的方法来减少高分辨率空间转录数据的维度.

Ian K Gingerich1,2, Brittany A Goods2, H Robert Frost1

  • 1Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA.

bioRxiv : the preprint server for biology
|January 7, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了随机空间PCA (RASP),一种快速的新方法来分析空间转录学 (ST) 数据. 拉斯普有效地识别组织领域,并改善基因表达分析,帮助生物发现.

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

33.6K

相关实验视频

Last Updated: Jun 16, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.9K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

33.6K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 空间转录学 (ST) 揭示了组织架构中的基因表达模式.
  • 了解空间领域对于发展和疾病研究至关重要.
  • 现有的ST分析方法可能是计算密集的.

研究的目的:

  • 介绍随机空间PCA (RASP),这是ST数据的新,快速和可扩展的维度减少方法.
  • 允许灵活整合非转录基因数据和消除基因表达的噪音.
  • 提高ST空间域识别和分析的效率.

主要方法:

  • RASP采用一个随机的两阶段主要组件分析 (PCA) 框架.
  • 使用稀疏矩阵运算和可配置的空间平滑以提高效率.
  • 将RASP与各种ST数据集的五种现有方法进行比较 (10xVisium,Stereo-Seq,MERFISH,10xXenium).

主要成果:

  • 拉斯普 (RASP) 显示了比现有技术快的数量级计算速度.
  • 在组织领域检测方面实现了同等或更高的性能.
  • 有效地重建无噪声和空间平滑的基因表达值.

结论:

  • RASP为分析大规模的ST数据集提供了显著的计算优势.
  • 促进高分辨率亚细胞ST数据的探索.
  • 通过高效的空间基因表达分析,增强组织组织和生物过程的研究.