An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction

IF 2.4 3区生物学 Q3 BIOCHEMICAL RESEARCH METHODS

Current Bioinformatics Pub Date : 2024-05-20 DOI:10.2174/0115748936293219240426051148

S Sujamol, E R Vimina, U. Krishnakumar

引用次数: 0

Abstract

Recent evidence demonstrated the fundamental role of miRNAs as disease biomarkers and their role in disease progression and pathology. Identifying disease related miRNAs using computational approaches has become one of the trending topics in health informatics. Many biological databases and online tools were developed for uncovering novel disease-related miRNAs. Hence, a brief overview regarding the disease biomarkers, miRNAs as disease biomarkers and their role in complex disorders is given here. Various methods for calculating miRNA and disease similarities are included and the existing machine learning and network based computational approaches for detecting disease associated miRNAs are reviewed along with the benchmark dataset used. Finally, the performance matrices, validation measures and online tools used for miRNA Disease Association (MDA) predictions are also outlined.

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最新 MiRNA 疾病关联预测计算方法探索性综述

最近的证据表明，miRNAs 作为疾病生物标志物的基本作用及其在疾病进展和病理学中的作用。利用计算方法鉴定与疾病相关的 miRNA 已成为健康信息学的热门话题之一。许多生物数据库和在线工具都是为发现新型疾病相关 miRNAs 而开发的。因此，本文简要概述了疾病生物标志物、作为疾病生物标志物的 miRNA 及其在复杂疾病中的作用。此外，还介绍了计算 miRNA 与疾病相似性的各种方法，并回顾了用于检测与疾病相关的 miRNA 的现有机器学习和基于网络的计算方法以及所使用的基准数据集。最后，还概述了用于 miRNA 疾病关联（MDA）预测的性能矩阵、验证措施和在线工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Bioinformatics 生物-生化研究方法

CiteScore

6.60

自引率

2.50%

发文量

审稿时长

>12 weeks

期刊介绍： Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science. The journal focuses on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.