Showing : rmat • reset
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rMAT install error
rMAT rMAT
11.7 years ago 周在威 ▴ 20
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-lm-lgomp (without a space) when building rMAT
rMAT rMAT
12.9 years ago Paul Hatton ▴ 10
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Reading .bpmap files for homemade tiling arrays
rMAT rMAT
updated 15.4 years ago by ▴ 40 • written 15.4 years ago by ▴ 20
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Reading .bpmap files for homemade tiling arrays
rMAT rMAT
15.4 years ago Patrick Schorderet ▴ 50
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1.9k
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rMAT tutorial. Data file too large?
Preprocessing GUI rMAT Preprocessing GUI rMAT
15.4 years ago Patrick Schorderet ▴ 50
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1.1k
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Problems using rMAT tutorial
GUI rMAT GUI rMAT
updated 15.4 years ago by ★ 13k • written 15.4 years ago by ▴ 50
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1.4k
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Please Help with rMAT: NAs in Enrich Object
Normalization Preprocessing rtracklayer IRanges rMAT Normalization Preprocessing IRanges
updated 15.8 years ago by 25k • written 15.8 years ago by ▴ 410
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1.4k
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Installing rMAT
rMAT rMAT
updated 16.3 years ago by 6.7k • written 16.3 years ago by ▴ 10
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Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi by ReinholdGaylord99 • 0
Thank you so much! https://www.nature.com/articles/s41467-021-25960-2
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design by Gordon Smyth 53k
I'm not sure that I understand. You have a dataset that, even after pseudo-bulking, still has 6000 samples? That is surprising. Retaining …
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design by abaed • 0
Hello again @gordonsmyth, I've now applied the analysis using a more detailed annotation of cell types/clusters, which includes about 100 …
Answer: Sharing a collection of datasets in ExperimentHub by shepherl 4.2k
107 packages would be a lot! It is certainly possible (and recommended) to implement one package that utilizes ExperimentHub for controlli…
Comment: GO.db and others package Download failure by James W. MacDonald 68k
Also, you never need to use anything but `BiocManager::install` to install any package, which has the beneficial side effect of ensuring th…
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Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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