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Two-way interaction, linear redundancy
limma
caret
lm
lmer
lme4
updated 4.8 years ago by
Aaron Lun
★ 28k • written 4.8 years ago by
Sindre
▴ 110
0
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0
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1.3k
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brnn package (Bayesian regularization for feed-forward neural networks)
R
machine learning
brnn
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5.9 years ago
elisa.micarelli
▴ 10
1
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2
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1.5k
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Possible methodologies of machine learning in R that can assimilate continuous variables along gene expression data for microarray classification
classification
machinelearning
microarray
multivariate
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updated 8.6 years ago by
Steve Lianoglou
★ 13k • written 8.6 years ago by
svlachavas
▴ 830
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Cannot specify probability function for extraTrees model in caret package
caret
extraTrees
machinelearning
8.9 years ago
liuy12
• 0
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Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Poonam
• 0
I will follow what you suggested. I didn't use max gap anywhere. I was following statistic I and regarding the size of features, my small…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
Oh I see, for the second question, I don't have a great answer. I typically think of one set as the anchor, whose ascertainment is driving …
Comment: Help with running egsea()
by
James W. MacDonald
65k
Oh, right. Ideally you would use NCBI (aka Entrez gene) IDs because they are way more likely to be unique. Gene symbols are broken down int…
Comment: Help with running egsea()
by
Chris
• 0
Thanks James! I update the question. The last question mean when we use `buildIdx()`, could we use gene symbol instead of entrezID. However…
Comment: Help with running egsea()
by
James W. MacDonald
65k
I don't understand the last question, but do look at the msigdb.gsets argument to `buildIdx` in the help page for that function.
Votes
Comment: Help with running egsea()
Answer: Trim/Filter out-of-bounds GRanges
Comment: Help with running egsea()
Answer: How to save the DEXSeq results
Answer: How to save the DEXSeq results
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