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

Genetic Screens02:46

Genetic Screens

4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.4K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.4K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.3K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

8.8K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
8.8K

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

Tumoral calcinosis in a patient with end-stage renal disease.

JCEM case reports·2026
Same author

Is Current Evidence Sufficient to Establish the Efficacy of Botulinum Toxin A in Treating Persistent Dry Eye Disease? A Systematic Review and Meta-Analysis of Interventional Studies With a Critical Review Using GRADE Tool.

Health science reports·2026
Same author

Re: 'The effect of botulinum toxin A on dry eye disease and syndromes'.

Clinical & experimental optometry·2026
Same author

Bullous Herpes Dermatitis.

Journal of cutaneous medicine and surgery·2026
Same author

Botulinum toxin a for dry eye disease: impact of population mixing and statistical issues.

Eye (London, England)·2026
Same author

Diagnostic Challenges of Adrenal Venous Sampling for Primary Hyperaldosteronism in a Patient With Subclinical Cushing's Syndrome: A Case Report.

Clinical case reports·2025

相关实验视频

Updated: Jun 23, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

19.4K

在癌症遗传学,突变检测,基因表达分析和综合征识别中转移学习.

Hamidreza Ashayeri1, Navid Sobhi2, Paweł Pławiak3,4

  • 1Student Research Committee, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.

Cancers
|June 19, 2024
PubMed
概括

转移学习 (TL) 通过改进突变检测,基因表达分析和综合征识别来增强遗传研究中的人工智能 (AI). 这种方法利用先前存在的模型在复杂的遗传研究中进行更快,更准确的预测.

关键词:
人工智能的人工智能是人工智能.癌症 癌症 癌症 癌症 癌症深度学习是一种深度学习.基因突变是一种基因突变.遗传学 遗传学 遗传学 是一个蛋白质蛋白质是蛋白质蛋白质的组成部分.综合征综合征是指一个综合征.转移学习转移学习

更多相关视频

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.5K
Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology
11:20

Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology

Published on: March 21, 2018

10.9K

相关实验视频

Last Updated: Jun 23, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

19.4K
Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.5K
Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology
11:20

Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology

Published on: March 21, 2018

10.9K

科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),正在改变医学研究.
  • 转移学习 (TL) 通过使用预先训练的模型来解决预测建模中的数据标签等挑战.
  • 在推进基因研究的各个领域中,TL显示出显著的前景.

研究的目的:

  • 审查转移学习 (TL) 在遗传研究中的应用和有效性.
  • 探索TL如何克服突变检测,遗传综合征识别,基因表达分析和基因型-表型关联方面的挑战.
  • 突出TL在增强人工智能驱动的遗传分析中的作用.

主要方法:

  • 审查现有的文学转移学习在遗传研究中的应用.
  • 分析TL如何利用先前存在的模型来提高预测准确性和效率.
  • 探索TL对特定遗传研究任务的影响.

主要成果:

  • TL提高了突变检测的准确性和效率,有助于识别遗传异常.
  • TL提高了诊断准确度,用于识别与综合征相关的遗传模式.
  • TL对于精确的基因表达分析和预测基因型-表型关联至关重要.

结论:

  • 转移学习显著提高了基因研究中的AI效率,特别是在突变预测,基因表达分析和遗传综合征检测方面.
  • 未来的研究应该专注于增加领域相似性,扩大数据集,并整合临床数据以进一步优化TL模型.
  • TL提供了一种强大的方法来加速遗传医学的发现和改善遗传医学的结果.