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

Labeling DNA Probes03:31

Labeling DNA Probes

8.1K
DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
8.1K

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

Tuning crystallization pathways, microstructure and mechanical properties in lithium disilicate glass-ceramics via Al<sub>2</sub>O<sub>3</sub>/CaO ratio control.

Dental materials : official publication of the Academy of Dental Materials·2026
Same author

AIE-Active Tetrazolyl Tetraphenylethylene-Based Metal-Organic Framework as Highly Selective Chemosensor for Nitro Explosives.

Inorganic chemistry·2026
Same author

Exploring Pembrolizumab-Induced IM3OS in a Patient With Bladder Cancer.

Pharmacology research & perspectives·2026
Same author

Bacillus velezensis mitigates deoxynivalenol-induced intestinal inflammation and liver injury via modulating the gut microbiota.

NPJ science of food·2026
Same author

Constructing bivalent aptasensor for sensitive colorimetric detection of amygdalin based on Capture-SELEX screened monovalent aptamers.

Talanta·2025
Same author

DADS Regulates EMT and Chemotherapy Resistance by Inhibiting ROR<b>α</b>/<b>β</b>-Catenin Signaling through PKC<b>α</b>-Dependent Phosphorylation in Gastric Cancer.

Oncology research·2025
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

有效的基于类型标签的协同表示学习,用于生物医学事件触发器检测.

Anran Hao1,2, Haohan Yuan1, Siu Cheung Hui3

  • 1School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, Singapore.

BMC bioinformatics
|July 31, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了基于生物医学标签的协同表示学习 (BioLSL) 模型,用于改进生物医学事件触发器检测. 在没有外部资源的情况下,BioLSL通过学习标签和文本之间的语义关系来提高性能.

关键词:
生物医学事件触发器检测检测代表性的学习学习.语义关系是语义关系.类型标签的语义 类型标签的语义

更多相关视频

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.8K
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.1K

相关实验视频

Last Updated: Jun 18, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.8K
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.1K

科学领域:

  • 生物医学自然语言处理
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 生物医学事件触发器检测是具有挑战性的,因为域特定的语言.
  • 当前的模型往往依赖于外部资源,限制了它们使用标签语义的能力.
  • 标签表示学习提供了一个有希望的途径,通过利用标签语义来增强触发器检测.

研究的目的:

  • 提出一个新的模型,BioLSL,用于生物医学事件触发器检测.
  • 有效地利用事件类型标签和句子上下文,以改善检测.
  • 开发一种不依赖外部资源的模式.

主要方法:

  • 开发了基于生物医学标签的协同表示学习 (BioLSL) 模型.
  • 采用特定领域的变压器来共同编码句子和标签.
  • 实现了基于标签的协同表示学习,以创建标签触发器意识的表示 (LTAR) 和标签上下文意识的表示 (LCAR).

主要成果:

  • 在三个基准BioNLP数据集 (MLEE,GE09,GE11) 上,BioLSL模型实现了最先进的性能.
  • 在生物医学事件触发器检测方面,BioLSL的表现优于现有的基线模型.
  • 该模型表现出强的性能,即使训练数据有限.

结论:

  • 生物LSL模型有效地检测生物医学事件触发器,而不需要外部资源.
  • 标签表示学习和上下文意识增强是这项任务的有效策略.
  • 生物LSL成功地捕捉了事件提及和类型标签之间的语义联系,这对于生物医学文本至关重要.