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相关概念视频

DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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Genetic Screens02:46

Genetic Screens

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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...
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Genetic Variation01:25

Genetic Variation

300
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
300
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Combinatorial Gene Control02:33

Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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相关实验视频

Updated: Jul 14, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

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全基因组搜索算法用于通过贝叶斯变量选择识别动态基因共同表达.

Wenda Zhang1, Zichen Ma2, Lianming Wang3

  • 1Walmart Global Tech, Sunnyvale, California, USA.

Statistics in medicine
|October 8, 2023
PubMed
概括

这项研究引入了贝叶斯方法,以有效地从大型数据集中识别动态基因-基因相互作用. 这些方法可以减少计算负载,从而更好地分析基因共同表达模式和生存结果.

关键词:
贝叶斯的变量选择选择是贝叶斯的.同表达生物标志物的生物标志物动态的共同表达.高维数据的高维数据.流动性协会是流动性的协会.在之前的尖尖和石之前.

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相关实验视频

Last Updated: Jul 14, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

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科学领域:

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

背景情况:

  • 高通量基因表达数据为研究动态基因相互作用提供了机会.
  • 由于大量的基因组合,现有的统计方法面临着计算挑战.
  • 动态基因相互作用对于生物系统调节和对刺激的反应至关重要.

研究的目的:

  • 开发计算效率高的贝叶斯变量选择方法,用于识别动态基因-基因相互作用.
  • 为了减少分析大型基因组数据集的计算强度.
  • 用贝叶斯的多重假设测试来识别显著的动态基因共同表达变化.

主要方法:

  • 利用贝叶斯变量选择与尖和石先验,专注于有希望的基因组合.
  • 实施贝叶斯的多重假设测试程序,以稳定检测共表达变化.
  • 通过模拟研究,比较拟议的算法与现有的详尽的搜索启发式.

主要成果:

  • 与详尽的方法相比,建议的贝叶斯式方法显著降低了计算强度.
  • 这些算法有效地识别了表现出动态共同表达的基因组合的子集.
  • 在癌症基因组图谱 (TCGA) 乳腺癌数据集中得到了应用.

结论:

  • 贝叶斯变量选择和多重假设测试为分析动态基因相互作用提供了有效的解决方案.
  • 这些方法有助于探索与整体存活率等临床结果相关的基因共同表达模式.
  • 这种方法对于癌症研究中大规模基因组数据分析有价值.