相关实验视频
Updated: Jun 30, 2025
06:16
mirMachine: A One-Stop Shop for Plant miRNA Annotation
Published on: May 1, 2021
2.5K
ReHoGCNES-MDA:使用基于正规图和随机边缘采样器的均质图形卷积网络预测miRNA疾病关联
Yufang Zhang1,2,3, Yanyi Chu4, Shenggeng Lin5
1School of Mathematical Sciences and SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai 200240, China.
Briefings in bioinformatics
|March 22, 2024
概括
本研究介绍了ReHoGCNES-MDA,这是一个用于预测微RNA与疾病关联的计算框架. 该方法有效地识别了潜在的联系,有助于疾病的诊断和治疗.
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:
- 微RNA (miRNAs) 在人类疾病中起着至关重要的作用.
- 确定miRNA与疾病的关联对于准确的诊断和有效的治疗至关重要.
- 计算方法为预测这些关联提供了一种高效且具有成本效益的方法.
研究的目的:
- 开发和验证一个新的计算框架,ReHoGCNES-MDA,用于预测miRNA-疾病关联 (MDA).
- 评估ReHoGCNES-MDA的性能与现有方法相比.
主要方法:
- 构建一个同质图形卷积网络 (ReHoGCN),整合疾病相似性,miRNA相似性和已知的MDA网络.
- 使用随机边缘采样器来优化训练效率.
- 通过四个实验任务进行评估,并与同质和异质图形卷积网络以及其他机器学习算法进行比较.
主要成果:
- 在所有测试任务中,ReHoGCNES-MDA的表现优于现有的图形卷积网络模型.
- 该模型与几种机器学习和最先进的MDA预测方法相比,表现出更高的性能.
- 案例研究显示,预测的miRNA-疾病关联的验证率很高 (例如,乳腺瘤的验证率为93.3%).
结论:
- ReHoGCNES-MDA是一种可靠且有益的模型,用于预测潜在的miRNA-疾病关联.
- 图形的稳定度分布显著提高了MDA预测中的模型性能.
- 该框架显示了通过准确的miRNA-疾病联系识别来推进诊断和治疗策略的前景.
相关概念视频
01:22MicroRNAs
3.0K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
3.0K
02:39lncRNA - Long Non-coding RNAs
8.6K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.6K
02:26Protein Networks
3.9K
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.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
01:11Genome-wide Association Studies-GWAS
13.4K
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...
GWAS does not require the identification of the target gene involved in...
13.4K