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How can I fix and run "sigCVError" function ?
sigFeature
svm-rfe
sigCVError
feature selection
4.5 years ago
rekren
▴ 20
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Comment: Deseq2 Design
by
James W. MacDonald
67k
You could do that, but if we assume the within-group variability is similar across groups, you gain power by fitting a single model and ext…
Comment: Deseq2 Design
by
pm_25
• 0
Thanks James, I went ahead and fit the model for cell means as so: ```r dds <- DESeqDataSetFromTximport(txi, colData = sampleTable,~Condit…
Answer: Build error on kunpeng2 Linux aarch64
by
James W. MacDonald
67k
This isn't the place for developer questions. Please use the developer listserv at bioc-devel@r-project.org instead. Also, you might wan…
Comment: biomaRt rnorvegicus_gene_ensembl not available anymore
by
James W. MacDonald
67k
You should use `useEnsembl` as the error recommends. ``` > library(biomaRt) > mart <- useEnsembl("ensembl", "rnorvegicus_gene_ensembl") > …
Comment: Deseq2 Design
by
James W. MacDonald
67k
The other thing I forgot to mention is that you need to specify a cell means model to `DESeq`. Here's an example. ``` > library(DESeq2) > …
Votes
DiffBind giving different results from dba.report() and dba.analyze(..., bRetrieveAnalysis=TRUE)
Answer: Deseq2 Design
Answer: Fold change calculation in Diffbind vs. DESEQ2?
Fold change calculation in Diffbind vs. DESEQ2?
FeatureCounts Output Counts at Exon Level Using Default Settings, want gene level
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