Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions.

ABSTRACT:

Background

As regulators of gene expression, microRNAs (miRNAs) are increasingly recognized as critical biomarkers of human diseases. Till now, a series of computational methods have been proposed to predict new miRNA-disease associations based on similarity measurements. Different categories of features in miRNAs are applied in these methods for miRNA-miRNA similarity calculation. Benchmarking tests on these miRNA similarity measures are warranted to assess their effectiveness and robustness.

Results

In this study, 5 categories of features, i.e. miRNA sequences, miRNA expression profiles in cell-lines, miRNA expression profiles in tissues, gene ontology (GO) annotations of miRNA target genes and Medical Subject Heading (MeSH) terms of miRNA-associated diseases, are collecte

SUBMITTER: Chen H 

PROVIDER: S-EPMC7199309 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature