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methylmix
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How can I download Methylation data for MethylMix package. (unusual error popped)
MethylMix
3.1 years ago
Shloka Negi
• 0
0
votes
1
reply
846
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how to paralelize this R script in a HPC cluster using Slurm Workload Manager?
methylation
epigenomics
slurm
mpi
methylmix
updated 3.7 years ago by
Kevin Blighe
★ 3.9k • written 3.7 years ago by
parra.sev
▴ 20
0
votes
1
reply
771
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stuck in "Finding nonparametric adjustments" with MethylMix package.
MethylMix
updated 3.8 years ago by
Kevin Blighe
★ 3.9k • written 3.8 years ago by
sdjnchen
• 0
0
votes
0
replies
662
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Methylmix results are a bit different from beta values results
cancer
methylmix
methylation
betavalues
DMvalues
4.3 years ago
luciomora8
• 0
1
vote
2
replies
907
views
How to handle big data sets (>10GB) in Bioconductor packages?
big data
methylmix
memory problem
updated 5.6 years ago by
Martin Morgan
25k • written 5.6 years ago by
perdedorium
• 0
0
votes
0
replies
774
views
MethylMix takes so much time for preprocess step
MethylMix
5.8 years ago
serbulentu
• 0
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Comment: Theoretical WGCNA Question
by
Garrett
• 0
Thanks Peter!
Comment: FGSEA pre-ranked input in increasing order or decreasing
by
sropri
• 0
Thank you!
Comment: FGSEA pre-ranked input in increasing order or decreasing
by
alserg
▴ 240
They are reorder in the decreasing order.
Comment: significant difference of p-values with dream() after updating VariancePartition
by
Le
• 0
Thanks for your reply @gabrielhoffman ! I've been trying to isolate the changes, and v1.32.5 had the same results as v1.33.1 while v1.30.0…
Comment: How to tell and visualize up/down regulation of pathways from clusterprofiler gs
by
sredemption
• 0
Try library(enrichplot) dotplot(gsea_FS, showCategory=10, split=".sign") + facet_grid(.~.sign)
Votes
How to tell and visualize up/down regulation of pathways from clusterprofiler gsea output
Comment: DEXSeq DEXSeqDataSet count matrix duplication
Comment: Error in champ.load(): The following specified files do not exist
Answer: Error in read.metharray(basenames = files, extended = extended, verbose = verbos
Using GRanges and IRanges to simply get all chromosome data
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