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Easiest way to convert read10xMolInfo data into a dataframe in R with gene labels as row names
tidyverse R SingleCellExperiment SingleCellData
written 23 months ago by • 0
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4
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1.6k
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paired tests with tidybulk and edgeR
edgeR R tidyverse tidybulk
3.0 years ago Amit Indap ▴ 10
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Extract specific portion of a string and paste to a new column in R
Rscript tidyr dataframe tidyverse offtopic
updated 3.3 years ago by 700 • written 3.3 years ago by • 0
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Tidyverse masking Genefilter after BioConductor update
bioconductor R tidyverse IlluminaHumanMethylationEPICanno.ilm10b4.hg19.
updated 7.3 years ago by 68k • written 7.3 years ago by • 0
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Error when running "locateVariants" function in "VariantAnnotation" package
variantannotation tidyverse genomicfeatures
updated 8.2 years ago by 16k • written 8.2 years ago by ▴ 20
5 results • Page 1 of 1
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Comment: gene Set with high AUC score but no cells assigned to cell type by gogeni5529 • 0
THIS is spam. How Do I delete it?
Comment: limpa - drivers for unusually high standard error? by Julia Broadbent • 0
Apologies for not being clearer in my initial question, but thank you for answering regardless! The large SE values I am looking at appear …
Answer: limpa - drivers for unusually high standard error? by Gordon Smyth 53k
Hi Julia, I am going to assume that you mean standard errors (SEs) returned by `dpcQuant()`, because later stages in the limpa pipeline do…
Comment: gene Set with high AUC score but no cells assigned to cell type by e.j.aaw.g.erm • 0
It sounds like AUCell is struggling with thresholding because your cDC2 gene set doesn t show a clear bimodal distribution. While a high AU…
Comment: featureCounts -L: high unassigned:mapq fraction by insurancetaaddddaxrealty • 0
FeatureCounts can behave differently with ONT cDNA BAM files due to long read splice patterns, and many users compare settings or presets m…
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Answer: gene Set with high AUC score but no cells assigned to cell type
Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Post translational modifications and phosphoproteomics in limpa?
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