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

Classification of Illness01:17

Classification of Illness

7.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.6K
Genomics02:02

Genomics

36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

82
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
82
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

113
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
113
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

161
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
161
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.4K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.4K

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

A comprehensive review of spatial transcriptomics data alignment and integration.

Nucleic acids research·2025
Same author

From Silos to Synthesis: A comprehensive review of domain adaptation strategies for multi-source data integration in healthcare.

Computers in biology and medicine·2025
Same author

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.

Scientific reports·2023
Same author

Biomarker-driven drug repurposing on biologically similar cancers with DNA-repair deficiencies.

Frontiers in genetics·2022
Same author

Acute coronary syndrome prediction in emergency care: A machine learning approach.

Computer methods and programs in biomedicine·2022
Same author

A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic.

Healthcare (Basel, Switzerland)·2022

相关实验视频

Updated: Jul 14, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K

使用知识蒸和监督变异自编码器集成不完整的多omics数据,用于预测疾病进展.

Sima Ranjbari1, Suzan Arslanturk1

  • 1Department of Computer Science, Wayne State University, Detroit, 48202, MI, USA.

Journal of biomedical informatics
|October 9, 2023
PubMed
概括

这项研究介绍了KD-SVAE-VCDN,这是一个整合多omics数据来预测癌症进展的新框架. 该模型准确地预测了乳腺癌和癌患者的生存结果,超过了现有的方法.

科学领域:

  • 生物医学信息学 生物医学信息学
  • 计算生物学 计算生物学
  • 癌症研究 癌症研究

背景情况:

  • 高通量技术为疾病研究产生各种各样的omics数据 (mRNA,DNA甲基化,microRNA).
  • 整合多omics数据增强了对癌症分子基础的理解和疾病进展预测.
  • 传统的方法与高维的欧米克数据和维度的诅咒作斗争.

研究的目的:

  • 为有效的多学科数据集成和癌症进展预测开发一个新的框架.
  • 为了应对高维度和有限的共同样本在多omics数据集中的挑战.
  • 提高在各种癌症类型中预测患者生存结果的准确性.

主要方法:

  • 引入了知识蒸和使用视图相关性发现网络 (KD-SVAE-VCDN) 的监督变异自动编码器.
  • 应用了KD-SVAE-VCDN框架来整合高维的多维数据.
  • 评估了模型在乳腺和癌数据集上的表现,以预测存活率.

主要成果:

  • 该KD-SVAE-VCDN架构准确地预测了乳腺和癌的疾病进展.
  • 该模型有效地将患者分为长期和短期幸存者组.
  • 与最先进的多omics集成模型相比,KD-SVAE-VCDN表现出更高的性能.
关键词:
数据整合数据集成知识的蒸知识的蒸.多模式数据多模式数据预测生存的预测.

更多相关视频

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
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

1.7K

相关实验视频

Last Updated: Jul 14, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K
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
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

1.7K

结论:

  • KD-SVAE-VCDN框架在预测癌症进展和患者生存结果方面表现出有效性.
  • 这种方法支持个性化医疗,允许量身定制的治疗策略.
  • 该模型的表现表明了促进癌症研究和临床管理的潜力.