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

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.9K
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...
4.9K

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

Synthetic Expansion of Blood Dielectric Spectra at Microwave Frequencies Using Data-Driven Methods.

Sensors (Basel, Switzerland)·2026
Same author

Adaptive Hybrid PSO-APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots.

Sensors (Basel, Switzerland)·2025
Same author

A Comprehensive Review on Anxiolytic Effect of <i>Lavandula Angustifolia</i> Mill. in Clinical Studies.

Food science & nutrition·2025
Same author

Age and gender specific normative physical fitness values among school going children: A cross-sectional analytical study.

JPMA. The Journal of the Pakistan Medical Association·2025
Same author

An efficient leukemia prediction method using machine learning and deep learning with selected features.

PloS one·2025
Same author

Modulation of snack foods: An approach to overcome hidden hunger in children.

Nutrition (Burbank, Los Angeles County, Calif.)·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jul 14, 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

7.5K

基于线性编程的计算技术用于使用基因表达特征进行白血病分类.

Mahwish Ilyas1, Khalid Mahmood Aamir1, Sana Manzoor1

  • 1Department of Computer Science & Information Technology, University of Sargodha, Sargodha, Punjab, Pakistan.

PloS one
|October 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究使用基因表达数据和机器学习准确分类白血病亚型,达到98.44%的准确率. 早期和精确的白血病诊断对于有效的治疗和患者的生存至关重要.

更多相关视频

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.7K
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

10.1K

相关实验视频

Last Updated: Jul 14, 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

7.5K
A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.7K
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

10.1K

科学领域:

  • 血液学 血液学 血液学
  • 生物信息学是一种生物信息学.
  • 机器学习在瘤学中的应用

背景情况:

  • 白血病是一种致命的血液癌症,需要早期诊断才能有效治疗.
  • 为了识别白血病亚型,手动显微镜分析需要高技能病理学家.
  • 精确的白血病亚型确定对于制定个性化治疗计划至关重要.

研究的目的:

  • 通过先进的计算方法提高白血病诊断的精度.
  • 开发一种机器学习模型,使用基因表达数据准确分类白血病亚型.
  • 通过促进个性化治疗策略,改善与白血病相关的医疗保健实践.

主要方法:

  • 利用了来自精选微阵列数据库 (CuMiDa) 的基因表达数据,特别是数据集GSE9476.
  • 应用特征选择技术,从大数据集中识别出最具特色的遗传标记.
  • 采用线性编程 (LP),一种机器学习算法,用于分类白血病亚型.

主要成果:

  • 从最初的22283个特征数据集中成功选择了25个重要的特征进行分类.
  • 线性编程模型准确地分类了白血病亚型,包括骨髓CD34,骨髓,AML,PB和PBSCCD34.
  • 在白血病亚型预测方面获得了98.44%的高分类准确度.

结论:

  • 机器学习,特别是线性编程,与特征选择相结合,为白血病亚型分类提供了高度准确的方法.
  • 这种方法可以显著帮助早期和精确的诊断,从而改善患者的治疗结果.
  • 这项研究表明生物信息学和机器学习在推进癌症诊断和个性化医学方面的潜力.