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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

102
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
102
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

478
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
478

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

Gingerol-loaded hollow manganese dioxide nanoparticles attenuate intervertebral disc oxidative stress.

RSC advances·2026
Same author

Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.

European heart journal·2026
Same author

Preparation of amorphous calcium phosphate nanoparticles using small organic molecules for biomimetic mineralization of dentin.

RSC advances·2026
Same author

TriPDCL: A Tri-Pathway Prototype-Driven Contrastive Learning Framework for Cross-Modality Single-Cell Integration.

Journal of chemical information and modeling·2026
Same author

LoHi-SSL: A Multi-Level Synergistic Learning Model for Integrating Single-Cell Multi-Omics Data via Low- and High-Order Information Fusion.

IEEE transactions on computational biology and bioinformatics·2026
Same author

Effect of <i>n</i>-Octadecylphosphonic Acid Coating on Zeolite 5A for Adsorptive Separation of Carbon Dioxide and Propylene.

Molecules (Basel, Switzerland)·2026
Same journal

Using Under-Represented Subgroup Fine Tuning to Improve Fairness for Disease Prediction.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2025
Same journal

Scalable and Easy-to-use System Architecture for Electronic Noses.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2024
Same journal

An Optimized E-nose for Efficient Volatile Sensing and Discrimination.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2024
Same journal

Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2024
Same journal

Fish Gelatin-based Films for Gas Sensing.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2024
Same journal

DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)·2022
查看所有相关文章

相关实验视频

Updated: May 26, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K

信息学驱动的传染病研究

Bruno Sobral1, Chunhong Mao1, Maulik Shukla1

  • 1Virginia Bioinformatics Institute at Virginia Tech, Blacksburg, Virginia, U.S.A.

Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)
|February 25, 2025
PubMed
概括
此摘要是机器生成的。

信息学通过整合数据和工具来推进研究. 传染病研究因其复杂的生物系统和多样化的应用而受益于网络基础设施.

更多相关视频

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.1K
IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.1K

相关实验视频

Last Updated: May 26, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.1K
IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.1K

科学领域:

  • 生命科学研究 生命科学研究
  • 传染病 (ID) 研究研究.
  • 发展网络基础设施的发展.

背景情况:

  • 信息学驱动的方法正在改变科学研究和开发.
  • 生命科学研究人员希望在一个单一的界面中集成数据和分析工具.
  • 传染病系统在多个尺度上呈现复杂的生物相互作用.

研究的目的:

  • 突出传染病研究和开发中的挑战和机遇.
  • 强调ID研究需要综合数据和分析工具.
  • 倡导在ID研究中开发和部署网络基础设施.

主要方法:

  • 审查生命科学中的信息学应用.
  • 分析传染病系统中的生物复杂性.
  • 检查各种ID研究选区的需求.

主要成果:

  • 信息学使得以系统为导向的科学观点成为可能.
  • 研究人员非常希望集成的数据和分析工具.
  • 传染病的复杂性需要先进的信息资源.

结论:

  • 传染病研究是信息学的一个高影响力领域.
  • 网络基础设施对于解决ID研究的复杂性至关重要.
  • 综合数据和工具对于临床医生,诊断医生和ID开发人员来说至关重要.