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

Genomics02:02

Genomics

35.6K
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...
35.6K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

110
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
110
Cancer Survival Analysis01:21

Cancer Survival Analysis

315
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
315
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

471
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...
471
Biostatistics: Overview01:20

Biostatistics: Overview

214
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
214

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

Healthcare system complexity of hepatitis B and C related liver disease: service mapping in New South Wales, Australia.

Frontiers in health services·2026
Same author

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Impacts of hepatitis B and C prevention programmes on long-term outcomes of advanced liver disease and hepatocellular carcinoma: A systematic review.

Public health·2026
Same author

Deep learning of 777 K bulk transcriptomes reveals human-mouse gene conservation beyond DNA sequence similarity.

Communications biology·2026
Same author

OCT-based optic neuropathy diagnosis using explainable and privacy-preserving machine learning.

Scientific reports·2026
Same author

Medical hierarchical image classification via dual-geometry image-text learning.

Medical image analysis·2026

相关实验视频

Updated: May 21, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K

基准测试组合机器学习算法用于多类,多omics数据集成在临床结果预测中的数据集成.

Annette Spooner1, Mohammad Karimi Moridani2, Barbra Toplis3

  • 1School of Computer Science and Engineering, University of New South Wales, High St, Kensington, NSW 2052, Australia.

Briefings in bioinformatics
|March 21, 2025
PubMed
概括
此摘要是机器生成的。

将多模式患者数据与整体机器学习 (ML) 集成,可以提高疾病建模的准确性. 增强组合方法,如PB-MVBoost和AdaBoost与软投票显示优越的性能多类预测.

关键词:
癌症 癌症 癌症 癌症 癌症预测临床结果的预测.肝细胞癌是肝细胞癌.晚期的整合是晚期的整合.机器学习是机器学习.多种类型的多种类型.多式联运是多式联运.多种主题的多种主题.

更多相关视频

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

1.1K
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

932

相关实验视频

Last Updated: May 21, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
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

1.1K
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

932

科学领域:

  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习
  • 计算生物学 计算生物学

背景情况:

  • 多模式患者数据为疾病建模提供了互补的见解.
  • 分析多模式,多omics数据带来了重大的计算挑战.
  • 有效的整合策略对于利用各种数据类型至关重要.

研究的目的:

  • 为了比较整体机器学习 (ML) 算法,以便晚期集成多类患者数据.
  • 评估各种集合方法的性能,包括投票,元学习者和增强模型.
  • 对肝细胞癌,乳腺癌和刺激性肠道疾病的真实数据集评估这些方法的有效性.

主要方法:

  • 整体ML算法的比较:投票 (硬/软),元学习者,多模式AdaBoost (硬/软/元学习者),PB-MVBoost,以及专家的混合.
  • 来自不同模式的多类数据的晚期整合.
  • 使用内部肝细胞癌数据和乳腺癌和刺激性肠道疾病的外部验证数据集进行评估.

主要成果:

  • 整体ML模型实现了接收器运行曲线 (AUC) 下的面积高达0.85.
  • 在经过测试的方法中,PB-MVBoost和AdaBoost以软票表现出最佳表现.
  • 与单个模式或简单连接相比,集成模型产生了更稳定的预测特征和更高的准确性.

结论:

  • 使用有效的集体ML模型整合互补的omics和数据模式显著提高了多类临床结果预测的准确性.
  • 增强组合方法,特别是软投票的PB-MVBoost和AdaBoost,对于多式联络数据集成非常有效.
  • 该研究为在临床研究中最好地整合多模式,多类数据提供了建议.