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

Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...

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

Multiplex RT-PCR-Based Sequencing Assay to Detect Kidney Cancer-Specific Splice Variants in Tumor Tissues and Plasma Cell-Free RNAs.

Molecular diagnosis & therapy·2026
Same author

Differences in overall survival for invasive epithelial ovarian cancer by race and ethnicity: results from the Ovarian Cancer Association Consortium.

British journal of cancer·2026
Same author

Ovarian cancer tumor immune profiles associated with intrauterine device and oral contraceptive use.

British journal of cancer·2026
Same author

A Beta-Binomial Model for Estimating Zero- or One-inflated Pain Trajectories.

bioRxiv : the preprint server for biology·2026
Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026

相关实验视频

Updated: Jun 16, 2026

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

9.6K

mxfda: 一个全面的工具包,用于单细胞空间数据的功能数据分析.

Julia Wrobel1, Alex C Soupir2, Mitchell T Hayes3

  • 1Department of Biostatistics & Bioinformatics, Emory University, Atlanta, GA 30322, United States.

Bioinformatics advances
|November 18, 2024
PubMed
概括

我们开发了mxfda,这是一个R包,用于使用功能数据分析 (FDA) 分析空间单细胞 (SC) 数据. 这个工具有助于将细胞空间关系与患者的结果联系起来,以获得更好的癌症治疗见解.

更多相关视频

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
14:55

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

3.9K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.5K

相关实验视频

Last Updated: Jun 16, 2026

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

9.6K
Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
14:55

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

3.9K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.5K

科学领域:

  • 计算生物学和生物信息学
  • 癌症研究 癌症研究
  • 免疫学 免疫学 免疫学

背景情况:

  • 空间单细胞 (SC) 技术为组织微环境提供了前所未有的洞察力,这对了解癌症至关重要.
  • 功能数据分析 (FDA) 是一个强大的框架,可以将空间细胞关系与临床结果联系起来.
  • 实施FDA用于SC空间数据提出了分析挑战.

研究的目的:

  • 介绍mxfda,一个R包,旨在全面分析空间SC数据.
  • 为SC成像数据应用FDA技术提供一个可访问的工具.
  • 促进细胞空间组织与癌症患者预后之间的联系.

主要方法:

  • 开发mxfda R包,实施一套FDA方法.
  • 专注于对空间单细胞数据的端到端分析.
  • 使用FDA技术为SC成像数据进行空间分析.

主要成果:

  • mxfda提供了一种简化方法来分析复杂的SC空间数据.
  • 该包允许FDA的应用用于揭示空间细胞结果关系.
  • 为研究瘤微环境的研究人员提供了一个实用的解决方案.

结论:

  • mxfda R包使FDA用于空间SC数据分析的使用变得民主化.
  • 能够更深入地了解瘤微环境和个性化癌症疗法.
  • 便于将空间生物学发现转化为临床应用.