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相关概念视频

Genomics02:02

Genomics

35.3K
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...
35.3K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.2K
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...
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Pleiotropy01:33

Pleiotropy

38.4K
Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
38.4K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

13.7K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
13.7K

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相关实验视频

Updated: May 17, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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EMitool:可解释的多omics集成用于疾病亚型.

Yong Xu1, Jun Wu1, Chen Chen1

  • 1Center for Bioinformatics and Computational Biology, The Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai 200241, China.

International journal of molecular sciences
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

EMitool提供可解释的多omics集成,用于精确的癌症亚型. 它确定与生存和治疗相关的亚型,推进个性化医学和生物标志物发现.

关键词:
生物标志物发现发现疾病分类的疾病分类.可以解释的解释性.多主题整合多主题整合.精确瘤学 精确瘤学

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 个性化医疗需要基于异质性的准确疾病亚型.
  • 多omics数据积累驱动了对先进集成方法的需求.
  • 现有的方法缺乏可解释性和明确的临床结果联系.

研究的目的:

  • 开发EMitool,一个可解释的多omics集成工具.
  • 为了实现生物学和临床相关的疾病亚型.
  • 在没有先前的临床数据的情况下,将分子亚型与临床结果联系起来.

主要方法:

  • 基于网络的融合策略,用于多领域数据集成.
  • 从癌症基因组图谱 (TCGA) 中对31种癌症类型的应用.
  • 与八种最先进的分类方法进行比较分析.

主要成果:

  • 在EMitool的研究中,EMitool表现出卓越的亚型准确性.
  • 确定了与生存,阶段和瘤突变负担显著相关的亚型.
  • 在脏清细胞癌 (KIRC) 中发现了不同的亚型,预后和免疫特征不同.
  • 为omics数据类型提供了贡献分数,提高了可解释性.

结论:

  • EMitool 能够实现可解释和临床相关的多omics 疾病亚型.
  • 该工具有助于在精密瘤学中发现生物标志物.
  • 艾米托尔的亚型与免疫微环境和治疗反应相关.