Showing : methylmix • reset
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How can I download Methylation data for MethylMix package. (unusual error popped)
MethylMix
4.5 years ago Shloka Negi • 0
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how to paralelize this R script in a HPC cluster using Slurm Workload Manager?
methylation epigenomics slurm mpi methylmix
updated 5.2 years ago by ★ 4.0k • written 5.2 years ago by ▴ 20
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stuck in "Finding nonparametric adjustments" with MethylMix package.
MethylMix
updated 5.2 years ago by ★ 4.0k • written 5.2 years ago by • 0
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Methylmix results are a bit different from beta values results
cancer methylmix methylation betavalues DMvalues
5.7 years ago luciomora8 • 0
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How to handle big data sets (>10GB) in Bioconductor packages?
big data methylmix memory problem
updated 7.1 years ago by 25k • written 7.1 years ago by • 0
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MethylMix takes so much time for preprocess step
MethylMix
7.2 years ago serbulentu • 0
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Comment: Sharing a collection of datasets in ExperimentHub by Peter Hickey ▴ 760
The [**scRNAseq**](https://bioconductor.org/packages/scRNAseq/) package ([source on GitHub](https://github.com/LTLA/scRNAseq)) might serve …
Answer: EuroBioC2023 abstract submission is open! by efuite222 • 0
Abstract submissions are now open for the #EuroBioC2023 conference in Ghent, Belgium, from September 20-22; submit by April 14 for opportu…
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/ [geometry dash lite](https://geometrydashlite.online)
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 …
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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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