miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs

miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs

Abstract MicroRNA-seq data is produced by aligning small RNA sequencing reads of different microRNA transcript isoforms, called isomiRs, to known microRNAs. Aggregation to microRNA-level counts discards information and violates core assumptions of differential expression methods developed for mRNA-s...

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Bibliographic Details
Main Authors: Andrea M. Baran, Arun H. Patil, Ernesto Aparicio-Puerta, Seong-Hwan Jun, Marc K. Halushka, Matthew N. McCall
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Genome Biology
Subjects:
microRNA
isomiR
Differential expression
Mixed model
Aggregation
miRNA-seq
Online Access:https://doi.org/10.1186/s13059-025-03549-y
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https://doi.org/10.1186/s13059-025-03549-y

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