相关实验视频

Updated: Jul 23, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

基于堆叠的自编码器的级联森林模型对miRNA-疾病关联的预测

Xiang Hu¹, Zhixiang Yin¹, Zhiliang Zeng¹

¹Center of Intelligent Computing and Applied Statistics, School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.

Molecules (Basel, Switzerland)

|July 14, 2023

概括

这项研究介绍了CFSAEMDA,一种用于预测微RNA-疾病关联 (MDAs) 的新计算方法. CFSAEMDA显著提高了识别潜在疾病相关微RNA的效率和准确性,为生物医学研究提供了宝贵的工具.

科学领域:

生物医学信息学生物医学信息学
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RNAs (miRNAs) 是生物过程的关键调节者,并与复杂疾病有关.
鉴定与疾病相关的miRNAs的传统实验方法耗时且昂贵.
需要有效的计算方法来加速发现miRNA-疾病关联 (MDAs).

研究的目的:

开发一种新的计算方法,CFSAEMDA,用于预测未知的miRNA-疾病关联 (MDA).
提高识别与疾病相关的miRNA的效率和准确性.
为推断潜在的miRNA-疾病关系提供一个实用工具.

主要方法:

整合多来源信息以捕获miRNA和疾病交互特征.
堆叠自动编码器的应用,用于学习底层特征表示.
使用修改后的级联森林模型进行最终的MDA预测.

主要成果:

拟议的CFSAEMDA方法实现了97.67%的高曲线下的面积 (AUC) 值.
与现有的几种最先进的方法相比,CFSAEMDA表现出卓越的性能.
对肺部瘤,乳腺瘤和肝细胞癌的案例研究证实了该方法的实用性.

结论:

CFSAEMDA是一种有效和高效的计算方法,用于预测未知的miRNA-疾病关联.
该方法为推进与miRNA相关疾病的研究提供了有价值的工具.
CFSAEMDA可以显著帮助发现新的疾病-miRNA关系.

关键词:

一个布式森林.微RNA疾病关联.多个来源的信息信息.堆叠的自动编码器

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

相关概念视频

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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...

MicroRNAs

MicroRNAs

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...