The following pages link to EBSeq (Q29022):
Displaying 8 items.
- What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment (Q306675) (← links)
- A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data (Q306683) (← links)
- Shrinkage of dispersion parameters in the binomial family, with application to differential exon skipping (Q312910) (← links)
- Bayesian analysis of RNA-Seq data using a family of negative binomial models (Q1631554) (← links)
- Bayesian estimation of differential transcript usage from RNA-seq data (Q1670291) (← links)
- A compositional model to assess expression changes from single-cell RNA-seq data (Q2245165) (← links)
- RNA bioinformatics (Q2259130) (← links)
- Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data (Q5962705) (← links)
