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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| 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
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-025-03549-y |
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