Comments (1)
About to sleep but the rbind
approach seems reasonable if you want the ranks to be comparable. But comes with some performance loss because the current scran falls back to block processing (though this would not be a problem if it was refactored to use libscran). Otherwise 2 is also fine but also requires some recompute of the ranks.
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Related Issues (20)
- Receiving 'ref.clust' not in 'clusters' for cluster label that is part of predefined clusters HOT 5
- Different list for findmarker function HOT 1
- scran normalize HOT 1
- Depreciated scran functions and commands. Any updated tutorial?
- Error normalizing Anndata
- Old versions disappeared from bioconductor? HOT 3
- cant load scran HOT 6
- Error in FUN(x, table, nomatch = nomatch, incomparables = incomparables) : 'match' requires vector arguments HOT 3
- DEG results only contain downregulated gene HOT 2
- `scoreMarkers()`: Parallelisation changes `rank.*` statistics HOT 2
- sizeFactors for mixed patient samples HOT 2
- `scran::findMarkers` always return all available markers as differential, albeit with different p-values HOT 4
- Integer Overflow HOT 2
- rank.logFC.detected Produces Dubious Rankings HOT 4
- Error with cyclone HOT 1
- Cyclone Computational Efficiency HOT 3
- pseudoBulkDGE - logFC means upregulated in which condition? HOT 1
- Feature Request: pseudoBulkDGE for Non-Integer Batch-corrected Data HOT 2
- pseudoBulkDGE interaction term HOT 2
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