Showing : methylmix • reset
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How can I download Methylation data for MethylMix package. (unusual error popped)
MethylMix
3.8 years ago Shloka Negi • 0
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1.0k
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how to paralelize this R script in a HPC cluster using Slurm Workload Manager?
methylation epigenomics slurm mpi methylmix
updated 4.4 years ago by ★ 4.0k • written 4.4 years ago by ▴ 20
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stuck in "Finding nonparametric adjustments" with MethylMix package.
MethylMix
updated 4.5 years ago by ★ 4.0k • written 4.5 years ago by • 0
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Methylmix results are a bit different from beta values results
cancer methylmix methylation betavalues DMvalues
5.0 years ago luciomora8 • 0
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How to handle big data sets (>10GB) in Bioconductor packages?
big data methylmix memory problem
updated 6.3 years ago by 25k • written 6.3 years ago by • 0
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MethylMix takes so much time for preprocess step
MethylMix
6.5 years ago serbulentu • 0
6 results • Page 1 of 1
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Answer: Cross-validation with multiple control subgroups in limma by Gordon Smyth 52k
limma doesn't do cross-validation. Like most classical linear modeling procedures in statistics, limma uses a statistical model to represen…
Comment: Issues with seqlevelsStyle when making custom txdb objects for genomes/annotatio by Robert Castelo ★ 3.4k
Hi Hervé, thank you very much for your input into how to properly build and manage TxDb objects. gDNAx has two main inputs, one or more BAM…
Comment: Biostrings: Error writing long reads (>200 kbps) with writeQualityScaledXStringS by Aidan ▴ 60
Quick update: this is fixed in a branch awaiting PR to Biostrings (https://github.com/Bioconductor/Biostrings/pull/122). Should be in `deve…
Answer: Can DESeq2's design compensate for sequencing experimental design shortcomings? by Michael Love 43k
For statistical analysis plans, I recommend working with a local statistician or someone familiar with linear models in R. I have to reserv…
Comment: how should I apply "cpg.annotate" to TCGA methylation data in hg38 for HM450K? by xiaofeiwang198266 • 0
Thanks for your reply!
Votes
C: edgeR and lack of counts ID on CPM matrix
A: DESeq2 Following RSEM
A: importing RSEM data into DESeq2
A: Expected counts from RSEM in DESeq2
A: Using RSEM reads for DESeq2
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