A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data. (2018)
Attributed to:
Development and benchmarking of improved computational methods for transcript-level expression analysis using RNA-seq data
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1111/rssc.12213
PubMed Identifier: 29353941
Publication URI: http://europepmc.org/abstract/MED/29353941
Type: Journal Article/Review
Volume: 67
Parent Publication: Journal of the Royal Statistical Society. Series C, Applied statistics
Issue: 1
ISSN: 0035-9254