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

Neural Regulation01:37

Neural Regulation

40.1K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
40.1K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

591
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
591
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

132
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
132
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

2.9K
2.9K
Neural Circuits01:25

Neural Circuits

1.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.6K
Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

1.4K
Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
1.4K

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

Robotic-assisted versus laparoscopic esophageal hiatal hernia and anti-reflux surgery: A comprehensive systematic review and meta-analysis.

Hernia : the journal of hernias and abdominal wall surgery·2026
Same author

Neural-tumor crosstalk in driving tumor metabolic reprogramming.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging.

Npj imaging·2026
Same author

CD4<sup>+</sup> T cells impair tumor growth through IL-3 and TNF-dependent vascular damage.

Science (New York, N.Y.)·2026
Same author

Hierarchical integration of carbon dot on Ce-MOF nanozymes in a hydrogel for diabetic alveolar bone repair.

Biomaterials advances·2026
Same author

Artificial intelligence facilitates urban green transition in the Yangtze River Delta urban agglomeration.

Scientific reports·2026

相关实验视频

Updated: Sep 14, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

LineGRN:用于基因调节网络推断的线图神经网络.

Ziwei Wang, Ge Xu, Weiming Yu

    IEEE journal of biomedical and health informatics
    |July 23, 2025
    PubMed
    概括

    一个新的线图神经网络LineGRN从单细胞RNA测序数据中推断出基因调节网络 (GRNs). 它改进了网络拓,以改善信息流动,并准确地识别了基因相互作用.

    科学领域:

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

    背景情况:

    • 基因调节网络 (GRNs) 对于理解细胞过程至关重要.
    • 单细胞RNA测序 (scRNA-seq) 可以在高分辨率下推断GRN.
    • 现有的方法难以捕捉基因对协会和网络拓.

    研究的目的:

    • 开发一个新的计算框架,LineGRN,用于从scRNA-seq数据中推断GRN.
    • 解决有关联模式和网络拓学的现有方法的局限性.
    • 为了增强在推断的GRNs中的信息传播.

    主要方法:

    • 建议LineGRN,一个线图神经网络框架.
    • 模拟基因对之间的邻居关系,以保存相互作用信号.
    • 利用直线图形转换来创建一个高度节点主导的局部拓.

    主要成果:

    • 在真实数据集上,LineGRN显著超过了七种最先进的方法.
    • 该方法对参数变化和噪声的敏感性较低.
    • 案例研究验证了LineGRN在发现潜在的转录因子-标关联方面的能力.

    更多相关视频

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    912
    RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
    11:04

    RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

    Published on: May 19, 2019

    10.1K

    相关实验视频

    Last Updated: Sep 14, 2025

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.3K
    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    912
    RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
    11:04

    RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

    Published on: May 19, 2019

    10.1K

    结论:

    • 从scRNA-seq数据中推断GRN,LineGRN提供了一种卓越的方法.
    • 该框架增强了拓性质,以便有效地传播信息.
    • LineGRN为监管网络分析提供了一个强大而准确的工具.