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

Manipulation and Analysis01:21

Manipulation and Analysis

47
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
47
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.5K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.5K
Statgraphics01:10

Statgraphics

166
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
166
Multiple Bar Graph01:07

Multiple Bar Graph

5.3K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.3K
Bar Graph01:07

Bar Graph

16.7K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.7K
Ogive Graph01:07

Ogive Graph

5.7K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.7K

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

Anode-Free All-Solid-State Batteries: Understanding Limitations and Charting a Path to Enhanced Performance.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

TiON/NiO<i><sub>x</sub></i> Heterojunction Neuron for CMOS-Compatible Hardware Implementation of Activation Function in Neural Network.

ACS applied materials & interfaces·2026
Same author

Solving Constrained Optimization Problems Using Hybrid Qubit-Qumode Quantum Devices.

Journal of chemical theory and computation·2026
Same author

Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank.

Nature communications·2026
Same author

Energy- and Area-Efficient Ionic-Switch Activation Neuron for Monolithic 3D Neural Network Architectures.

ACS nano·2026
Same author

3D chromatin compartment of round spermatids encodes the spatiotemporal program of histone-to-protamine exchange in spermiogenesis.

bioRxiv : the preprint server for biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same journal

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
查看所有相关文章

相关实验视频

Updated: Jul 27, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.5K

哈特:超图分析工具箱 超图分析工具箱

Joshua Pickard1,2, Can Chen3, Rahmy Salman4

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.

PLoS computational biology
|June 5, 2023
PubMed
概括
此摘要是机器生成的。

新的软件"超图分析工具箱" (Hypergraph Analysis Toolbox,简称HAT) 分析了复杂的多路生物相互作用. 这个工具可视化和处理来自先进技术的复杂数据,例如染色体构造捕获.

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K

相关实验视频

Last Updated: Jul 27, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.5K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K

科学领域:

  • 基因组学和生物信息学
  • 系统生物学 系统生物学
  • 计算生物学 计算生物学

背景情况:

  • 先进的生物技术,包括多路染色体构造捕获 (3C),产生复杂的数据集.
  • 分析多路相互作用对于理解生物系统至关重要,但也带来了分析挑战.

研究的目的:

  • 介绍超图分析工具箱 (HAT),一个新的软件包.
  • 提供一种方法来准确地表示和分析多路交互.

主要方法:

  • 利用超图作为一个数学框架来建模多路交互.
  • 开发用于计算分析和可视化的超图分析工具箱 (HAT).

主要成果:

  • 通过HAT可可视化复杂的多路交互.
  • HAT为生物系统中的多路数据提供了分析能力.

结论:

  • 超图为分析多路生物相互作用提供了一种可操作的方法.
  • 对于研究复杂的生物系统及其相互作用的研究人员来说,HAT是一个有价值的工具.