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feature selection
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How can I fix and run "sigCVError" function ?
sigFeature
svm-rfe
sigCVError
feature selection
2.6 years ago
rekren
▴ 20
0
votes
2
replies
876
views
feature reduction using machine learning
rnaseq
machine learning
feature selection
updated 4.2 years ago by
chris86
▴ 400 • written 4.2 years ago by
marak
• 0
0
votes
5
replies
1.5k
views
Choosing genes for clustering
limma
clustering
differential gene expression
hierarchical clustering
feature selection
5.4 years ago • updated 5.3 years ago
lirongrossmann
▴ 70
2
votes
5
replies
3.3k
views
How to use t.test to select best features out of multiple features?
microarray
biobase
feature selection
t.test
R
updated 7.4 years ago by
svlachavas
▴ 800 • written 7.4 years ago by
babumanish837
▴ 10
4 results • Page
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Answer: msPurity::spectralMatching Error in getSmeta(con, pids) : No meta data for spect
by
thomas.nigel.lawson
• 0
This has been resolved (Windows Firewall issue) - see github issue https://github.com/computational-metabolomics/msPurity/issues/100
Answer: DESeq2 parameter infernce
by
Michael Love
39k
We use IRLS which is related to Newton-Raphson method. I suppose you can use any optimization method you prefer. We also sometimes use L-BF…
Answer: DESeq2 with 2 continuous factors, LRT, coeficients and slope
by
Michael Love
39k
See `?results` which describes what the LFC is when you perform an LRT: "*For analyses using the likelihood ratio test*..." Also in the …
Answer: DESeq2 with sample effect, unequal sample sizes
by
Michael Love
39k
For statistical analysis plans such as design and coefficient interpretation, I recommend collaborating with a local statistician or someon…
Comment: Bioconductor tool for curating annotations?
by
Lluís Revilla Sancho
▴ 700
I think you can find those transcripts not overlapping with a GRanges object easily via ?GenomicRanges::setdiff, but I don't know how to an…
Votes
Answer: AnnotationForge::makeOrgPackage "argument is missing, with no default" Errors
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE
Answer: Limma-voom with inverse probability weights
A: Limma-voom with external observation weights
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