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caret
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4
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Two-way interaction, linear redundancy
limma
caret
lm
lmer
lme4
updated 5.4 years ago by
Aaron Lun
★ 28k • written 5.4 years ago by
Sindre
▴ 110
0
votes
0
replies
1.5k
views
brnn package (Bayesian regularization for feed-forward neural networks)
R
machine learning
brnn
caret
6.5 years ago
elisa.micarelli
▴ 10
1
vote
2
replies
1.8k
views
Possible methodologies of machine learning in R that can assimilate continuous variables along gene expression data for microarray classification
classification
machinelearning
microarray
multivariate
caret
updated 9.2 years ago by
Steve Lianoglou
★ 13k • written 9.2 years ago by
svlachavas
▴ 840
1
vote
1
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1.9k
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Cannot specify probability function for extraTrees model in caret package
caret
extraTrees
machinelearning
9.6 years ago
liuy12
• 0
4 results • Page
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Comment: Cross-validation with multiple control subgroups in limma
by
Ali Barry
▴ 40
Thanks so much for taking the time here, the insights are much appreciated. I suspected I'd have to ad hoc compare results if I did repeat …
Answer: Cross-validation with multiple control subgroups in limma
by
Gordon Smyth
52k
limma doesn't do cross-validation or resampling. Like most classical linear modeling procedures in statistics, limma uses a statistical mod…
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…
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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