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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Detaylı Bibliyografya

Asıl Yazarlar:	Andrea M. Baran, Arun H. Patil, Ernesto Aparicio-Puerta, Seong-Hwan Jun, Marc K. Halushka, Matthew N. McCall
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2025-04-01
Seri Bilgileri:	Genome Biology
Konular:	microRNA isomiR Differential expression Mixed model Aggregation miRNA-seq
Online Erişim:	https://doi.org/10.1186/s13059-025-03549-y
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