相关实验视频

Updated: May 10, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

DGCLCMI:一种深度图协作学习方法,用于预测circRNA-miRNA相互作用

Chao Cao^1,2, Mengli Li², Chunyu Wang³

¹Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China.

|April 23, 2025

概括

本研究介绍了DGCLCMI,这是一种深度图形学习方法,用于预测循环RNA (circRNA) 和微RNA (miRNA) 相互作用. 这种新的方法显著提高了预测准确度,有助于理解与疾病相关的分子机制.

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:

循环RNAs (circRNAs) 作为miRNA海绵,调节基因表达和疾病.
湿实验室方法用于circRNA-miRNA关联分析是昂贵和耗时的.
现有的计算模型缺乏对circRNA-miRNA相互作用的深度特征提取,限制了预测准确度.

研究的目的:

开发一种有效的计算方法来预测circRNA-miRNA相互作用.
通过捕获深度协作信息来改善circRNAs和miRNAs的特征表示.
克服当前模型在分析circRNA-miRNA相互作用中的高阶关系方面的局限性.

主要方法:

提出了一种新的深度图形协作学习方法 (DGCLCMI).
使用word2vec对文字嵌入中的序列编码.
开发了一个联合模型,将改进的神经图协作过与特征提取网络相结合.

主要成果:

与以前的方法相比,DGCLCMI实现了更高的性能,在三个数据集中平均AUC为0.960.
该方法有效地将深度交互信息嵌入到序列表示中,以进行准确的预测.
一个案例研究验证了该模型,预测的20个未知circRNA-miRNA相互作用中的18个是准确的.

结论:

通过深度协作信息,DGCLCMI增强了circRNA和miRNA特征表示.
该模型展示了circRNA-miRNA关联的优异预测性能.
DGCLCMI促进发现新的关联及其在生理过程中的作用.

关键词:

循环RNA-miRNA相互作用协作过是一种合作过.图形神经网络是一个神经网络.这是LSTM的LSTM.在Word2vec中使用.

更多相关视频

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

相关概念视频

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...