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

Classifying Matter by Composition03:35

Classifying Matter by Composition

91.5K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
91.5K
Classifying Matter by State02:49

Classifying Matter by State

104.6K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
104.6K
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.4K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.4K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

45.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.1K
Machines: Problem Solving II01:30

Machines: Problem Solving II

677
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
677

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

Therapeutic Silencing of Tmprss6 Reduces Iron-Induced Inflammation and Prolongs Survival in MDS Mice.

American journal of hematology·2026
Same author

Lightweight cloud masking models for on-board inference in hyperspectral imaging.

Scientific reports·2026
Same author

Quantifying Tactile Perception of Fabrics Using Both Frictional and Acoustic Methods.

Tribology letters·2026
Same author

Limitations of quantum hardware for molecular energy estimation using VQE.

Physical chemistry chemical physics : PCCP·2026
Same author

Magnetic nanoparticles as transducers for quick and direct virus detection in clinical samples.

Nanoscale·2025
Same author

Engineered Protein-Based Ionic Conductors for Sustainable Energy Storage Applications.

Advanced materials (Deerfield Beach, Fla.)·2025
Same journal

A Multitask Prediction Framework for CircRNAs, Drugs, and Diseases Based on Multi-View Information Integration and Graph Contrastive Learning.

ACS synthetic biology·2026
Same journal

Engineering Modular Cargo Loading Strategies for Carboxysome-Derived Protein Particles.

ACS synthetic biology·2026
Same journal

Suppression of Salmonella Effectors with CRISPRi Controls the Immune Response to Bacterial Therapies.

ACS synthetic biology·2026
Same journal

Rational Design of Linalool Dehydratase-Isomerase Enables Efficient Conversion of Phytol to Neophytadiene.

ACS synthetic biology·2026
Same journal

<i>De Novo</i> Biosynthesis of Polyphyllin V in <i>Nicotiana benthamiana</i> through Pathway Reconstruction and UDP-Sugar Engineering.

ACS synthetic biology·2026
Same journal

Rapid and Continuous Directed Evolution in <i>Vibrio natriegens</i> Utilizing an <i>In Vivo</i> Hypermutation System.

ACS synthetic biology·2026
查看所有相关文章

相关实验视频

Updated: Feb 12, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K

epiGPTope:一个基于机器学习的Epitope生成器和分类器.

Natalia Flechas Manrique1, Alberto Martínez1, Elena López-Martínez2

  • 1Multiverse Computing, Parque Científico y Tecnológico de Gipuzkoa, Paseo de Miramón 170, Donostia-San Sebastián 20014, Spain.

ACS synthetic biology
|February 11, 2026
PubMed
概括
此摘要是机器生成的。

研究人员开发了新型大型语言模型epiGPTope,用于生成用于免疫疗法和疫苗的新型表位序列. 这种人工智能方法通过创建生物学上可行的序列来加速合成表观体的发现.

关键词:
人工智能的人工智能是人工智能.标本类别分类器 标本分类器标志性基因的生成 标志性基因的生成大型语言模型图书馆设计图书馆设计图书馆设计机器学习是机器学习.

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

4.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

相关实验视频

Last Updated: Feb 12, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
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

4.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

科学领域:

  • 免疫信息学是指免疫信息学.
  • 计算生物学 计算生物学
  • 生物技术中的人工智能

背景情况:

  • 在开发免疫疗法,疫苗和诊断方面,皮层至关重要.
  • 设计合成表位图书馆受到巨大的序列空间的阻碍,使实验选不可行.

研究的目的:

  • 介绍 epiGPTope,一个用于生成新型线性表位序列的大型语言模型.
  • 开发一种计算方法来加速表位发现和图书馆设计.

主要方法:

  • 微调一个大型语言模型 (epiGPTope) 在线性表位数据上.
  • 利用生成模型产生具有相似统计性质的新型表位样序列.
  • 培训统计分类器来预测表位序列的起源 (细菌或病毒).

主要成果:

  • EpiGPTope成功地产生了与已知的表位相似的统计性质的新型表位样序列.
  • 生成式方法可以创建候选表位图书馆.
  • 预测模型可以区分细菌和病毒表位原始,改进候选人选择.

结论:

  • 生成型和预测型模型的组合为表位发现提供了一个强大的工具.
  • 这种人工智能驱动的方法绕过了复杂的结构数据或手工制作的特征的需求.
  • 该方法承诺更快,更具成本效益的生成和选合成表征物用于生物技术应用.