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

Improving Translational Accuracy02:07

Improving Translational Accuracy

2.6K
2.6K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.2K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.2K
Structure of a Gene01:30

Structure of a Gene

12.6K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
12.6K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.2K
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...
12.2K
Nucleic Acid Structure01:25

Nucleic Acid Structure

6.2K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
6.2K
Chromosome Structure02:40

Chromosome Structure

4.8K
4.8K

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

Exogenous melatonin alleviates post-flowering natural high-temperature stress in maize (<i>Zea mays</i> L.) by promoting photosynthesis and antioxidant defense responses.

Frontiers in plant science·2026
Same author

Liquid-Phase Synthesis and Regulatory Mechanisms of Nano-Nickel Powders for MLCC Inner Electrodes.

Nanomaterials (Basel, Switzerland)·2026
Same author

Analysis of influencing factors on the plastic zone width and stability of aeolian sand-based backfill strips.

Scientific reports·2026
Same author

Optimizing water and nitrogen management in a wheat-maize rotation system: synergistic increases in grain yield, resource use efficiency, and economic and environmental benefits.

Frontiers in plant science·2026
Same author

The mediating role of activities of daily living in the association between intrinsic capacity and health-related quality of life: evidence from the WHO ICOPE pilot in China.

Aging clinical and experimental research·2026
Same author

Hyperspectral remote sensing image classification based on domain-level complementarity of spatial-spectral component.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jul 20, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

291

改进了基于图形结构信息的跳过图表.

Xiaojie Wang1, Haijun Zhao1, Huayue Chen1

  • 1School of Computer Science, China West Normal University, Nanchong 637002, China.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了Graph Skip-gram,这是一个新的图表表示学习方法,扩展了Skip-gram模型. 它通过结合图形结构信息来增强图形嵌入,以改进节点向量分析和特征融合.

关键词:
跳过-克拉姆可以.图形嵌入 图形嵌入.图形结构 图形结构可以解释的解释性.结节的功能是融合结节的功能.

更多相关视频

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

623

相关实验视频

Last Updated: Jul 20, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

291
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

623

科学领域:

  • 计算机科学 计算机科学
  • 机器学习 机器学习
  • 图形理论 图形理论

背景情况:

  • 跳过图形模型在自然语言处理中广泛用于文字嵌入.
  • 图表表示学习旨在学习图表中节点的低维表示.
  • 现有的研究经常将Skip-gram迁移到图表学习,而没有充分探索其特定图表的应用.

研究的目的:

  • 为了解决Skip-gram在图形表示学习中的不足.
  • 分析词嵌入和图形嵌入之间的差异.
  • 提出一个有效的图表表示学习方法,灵感来自Skip-gram.

主要方法:

  • 通过案例研究分析了图形表示学习的原理.
  • 开发了Skip-gram图表,这是Skip-gram模型的扩展,包含图形结构.
  • 设计了一个基于节点向量相似性的新功能融合算法.

主要成果:

  • 通过一个案例研究展示了图形嵌入的直观概念.
  • 图表跳过图表显示了与各种算法的出色适应性.
  • 对分类和链接预测任务的实验比较验证了该方法的适用性.

结论:

  • Graph Skip-gram是Skip-gram用于图表表示学习的更适用的扩展.
  • 拟议的特征融合算法有效地利用了节点向量相似性.
  • 这项工作提供了对Skip-gram在图形领域的更深入的理解和实际应用.