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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Neural Circuits01:25

Neural Circuits

1.2K
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...
1.2K
Protein Networks02:26

Protein Networks

4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K

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

Correction: Rapid and sustainable deep testosterone reduction predicts effective androgen deprivation therapy for metastatic hormone-sensitive prostate cancer.

Scientific reports·2026
Same author

Interpreting fungal ecological contributions through taxonomic and functional profiling of metatranscriptomics.

IMA fungus·2026
Same author

Efficacy and safety of telitacicept in patients with progressive interstitial lung disease associated with antisynthetase syndrome, rheumatoid arthritis, or Sjögren's syndrome: a prospective observational study.

Respiratory research·2026
Same author

DBML-Font :Double-branch multi-level feature fusion based on diffusion model for few-shot font generation.

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

The gene encoding chitin deacetylase is a potential target for RNAi-based control of Laodelphax striatellus Fallén (Hemiptera: Delphacidae).

Pest management science·2026
Same author

M2 macrophages promote lymphatic metastasis by regulating PKM2 nuclear translocation in triple-negative breast cancer.

Cell death & disease·2026
Same journal

Chromosomal scale genome assembly of medicinal plant Sophora tonkinensis.

BMC genomics·2026
Same journal

Variant-specific RNA testing resolves variants of uncertain significance in exome testing.

BMC genomics·2026
Same journal

Kaiso overexpression promotes an interferon immune response in murine intestines.

BMC genomics·2026
Same journal

Genomic evidence of ecological flexibility and cross-niche CRISPR spacerome targeting phage-plasmid hybrids in Latilactobacillus curvatus.

BMC genomics·2026
Same journal

Fgf evolution in vertebrates: insights from cyclostomes.

BMC genomics·2026
Same journal

Metabolic reprogramming, oxidative stress, and mitophagy in JSRV Env-transformed BEAS-2B cells: insights from integrated transcriptomics and metabolomics.

BMC genomics·2026
查看所有相关文章

相关实验视频

Updated: Jul 6, 2025

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

758

基于序列特征图和图形的基本基因识别模型 卷积神经网络

Wenxing Hu1, Mengshan Li2, Haiyang Xiao1

  • 1College of Physics and Electronic Information, Gannan Normal University, Ganzhou, Jiangxi, 341000, China.

BMC genomics
|January 10, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了GCNN-SFM,这是一种用于基本基因识别的新型计算模型. 图形卷积神经网络方法实现了94.53%的准确性,改进了生物研究的现有方法.

关键词:
生物信息学是一种生物信息学.基本的基因 基本的基因基因序列的基因序列.图形卷积神经网络的图形卷积神经网络机器学习 机器学习

更多相关视频

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

相关实验视频

Last Updated: Jul 6, 2025

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

758
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 基本基因对生物生命至关重要,包括生长,发育和细胞功能.
  • 鉴定基本基因的传统方法是艰苦且耗时的.
  • 目前用于基本基因预测的机器学习模型需要提高准确性.

研究的目的:

  • 为准确的基本基因预测开发一个强大的计算模型.
  • 通过先进的机器学习技术,提高基本基因的识别.

主要方法:

  • 开发了GCNN-SFM,一种利用图形卷积神经网络 (GCNN) 的模型.
  • 集成图形卷积,卷积和完全连接的层,用于从基因序列中提取特征.
  • 采用编码技术将基因序列转化为GCN分析的特征图.
  • 利用梯度下降来优化交叉损失函数,以提高预测准确度.

主要成果:

  • 与现有的先进的基本基因预测模型相比,GCNN-SFM表现出更高的性能.
  • 在实验评估中达到94.53%的平均预测准确度.
  • 通过多层GCN操作有效捕获基因序列的本地和全球特征.

结论:

  • GCNN-SFM为基本基因识别提供了一种新且有效的计算方法.
  • 该模型的高精度对推动生物学和基因组学研究具有重大意义.
  • 这项工作为研究基因本质性的研究人员提供了宝贵的工具.