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iMIRAGE: an R package to impute microRNA expression using protein-coding genes.
Nath, Aritro; Chang, Jeremy; Huang, R Stephanie.
Afiliação
  • Nath A; Department of Experimental and Clinical Pharmacology, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
  • Chang J; Biological Sciences Collegiate Division, The University of Chicago, Chicago, IL 60637, USA.
  • Huang RS; Weill Cornell Medical College, Weill Cornell Medicine, New York City, NY 10021, USA.
Bioinformatics ; 36(8): 2608-2610, 2020 04 15.
Article em En | MEDLINE | ID: mdl-31860075
ABSTRACT

SUMMARY:

MicroRNAs (miRNAs) are critical post-transcriptional regulators of gene expression. Due to challenges in accurate profiling of small RNAs, a vast majority of public transcriptome datasets lack reliable miRNA profiles. However, the biological consequence of miRNA activity in the form of altered protein-coding gene (PCG) expression can be captured using machine-learning algorithms. Here, we present iMIRAGE (imputed miRNA activity from gene expression), a convenient tool to predict miRNA expression using PCG expression of the test datasets. The iMIRAGE package provides an integrated workflow for normalization and transformation of miRNA and PCG expression data, along with the option to utilize predicted miRNA targets to impute miRNA activity from independent test PCG datasets. AVAILABILITY AND IMPLEMENTATION The iMIRAGE package for R, along with package documentation and vignette, is available at https//aritronath.github.io/iMIRAGE/index.html. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs Idioma: En Ano de publicação: 2020 Tipo de documento: Article