Pages that link to "Item:Q2406178"
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The following pages link to No counts, no variance: allowing for loss of degrees of freedom when assessing biological variability from RNA-seq data (Q2406178):
Displaying 11 items.
- Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates (Q100304) (← links)
- What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment (Q306675) (← links)
- A two-stage Poisson model for testing RNA-Seq data (Q458254) (← links)
- Controlling the false-discovery rate by procedures adapted to the length bias of RNA-seq (Q684055) (← links)
- A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (Q906075) (← links)
- Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates (Q906078) (← links)
- Modifying SAMseq to account for asymmetry in the distribution of effect sizes when identifying differentially expressed genes (Q1670284) (← links)
- Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression model (Q2324965) (← links)
- Pathway analysis for RNA-seq data using a score-based approach (Q2805192) (← links)
- Removing technical variability in RNA-seq data using conditional quantile normalization (Q3303808) (← links)
- Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data (Q5962705) (← links)
