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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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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.
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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.
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Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
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相关实验视频

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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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基于网络嵌入和一类分类的功能基因和疾病基因预测.

Weiyu Shi1, Yan Zhang2, Yeqing Sun3

  • 1College of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026, China.

Interdisciplinary sciences, computational life sciences
|September 4, 2024
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概括

本研究介绍了VGAEMCD,这是一种新的机器学习方法,用于使用网络嵌入和一类分类来预测疾病和功能基因. 在不需要负面示例的情况下,VGAEMCD准确地识别了基因,超过了现有的算法.

关键词:
深度学习是一种深度学习.疾病基因预测的预测.功能基因预测的功能网络嵌入 网络嵌入.一个类别的分类分类.

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科学领域:

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

背景情况:

  • 预测疾病和功能基因对于理解生物系统至关重要.
  • 现有的方法因缺乏负面示例而困难,仅依赖已知的正基因组.

研究的目的:

  • 开发一个强大的机器学习算法,用于统一的疾病和功能基因预测.
  • 为了应对基因功能和疾病关联研究中有限的负面示例的挑战.

主要方法:

  • 使用实验验验证的基因构建了一个蛋白质与蛋白质相互作用 (PPI) 网络.
  • 使用变量图自动编码器 (VGAE) 嵌入网络以表示基因.
  • 利用一个改进的深度学习一类分类器 (快速最小协差决定器,快速-MCD) 进行基因预测.

主要成果:

  • VGAEMCD成功地以统一的方式预测功能基因和疾病基因.
  • 该算法在回忆,精度,F测量,特异性和准确性方面实现了高性能.
  • 与经典的一类分类和最先进的预测算法相比,VGAEMCD表现出卓越的性能.

结论:

  • VGAEMCD有效地学习了正基因样本的分布特征.
  • 拟议的方法准确地识别了新功能和与疾病相关的基因.
  • VGAEMCD为基因功能和疾病预测提供了强大的工具,而不需要负数据或表达特征.