{"title":"An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction","authors":"S Sujamol, E R Vimina, U. Krishnakumar","doi":"10.2174/0115748936293219240426051148","DOIUrl":null,"url":null,"abstract":"\n\nRecent evidence demonstrated the fundamental role of miRNAs as disease biomarkers\nand their role in disease progression and pathology. Identifying disease related miRNAs using computational\napproaches has become one of the trending topics in health informatics. Many biological\ndatabases and online tools were developed for uncovering novel disease-related miRNAs. Hence, a\nbrief overview regarding the disease biomarkers, miRNAs as disease biomarkers and their role in\ncomplex disorders is given here. Various methods for calculating miRNA and disease similarities are\nincluded and the existing machine learning and network based computational approaches for detecting\ndisease associated miRNAs are reviewed along with the benchmark dataset used. Finally, the\nperformance matrices, validation measures and online tools used for miRNA Disease Association\n(MDA) predictions are also outlined.\n","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"100 51","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/0115748936293219240426051148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.