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bootstrap
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Two Genotypes Four Treatments RNA-seq Analysis
salmon
rna-seq
swish
bootstrap
fishpond
updated 2.2 years ago by
Michael Love
41k • written 2.2 years ago by
samuelcjx
• 0
0
votes
6
replies
1.1k
views
tximport lose transcript names with Salmon bootstrap
salmon
tximport
bootstrap
updated 4.1 years ago by
julia.jefferson23
• 0 • written 4.1 years ago by
Cindy
• 0
0
votes
0
replies
925
views
Using log2FC distance matrix in Boot.Phylo to create bootstrapped trees
tree
bootstrap
dgelist
plotmds
6.1 years ago
Larry K.
• 0
0
votes
0
replies
871
views
Jackknifing/bootstrapping input and output question
jackknifing
R
microarray
bootstrap
6.8 years ago
bhgyu
▴ 30
1
vote
7
replies
1.5k
views
[GSVM] bootstrapping error
GSVM
bootstrap
snow
updated 7.3 years ago by
Robert Castelo
★ 3.3k • written 7.3 years ago by
mforde84
▴ 20
0
votes
1
reply
3.6k
views
ape - delete bootstrap values (node.labels) less than a certain value
ape
bootstrap
node
phylogenetic
tree
8.9 years ago
wd
▴ 30
0
votes
1
reply
1.6k
views
DESeq2 -- Bootstrap subsampling to estimate distribution of expression
deseq2
bootstrap
differential expression
updated 9.1 years ago by
Michael Love
41k • written 9.1 years ago by
David Eccles (gringer)
▴ 30
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Answer: Once again a "Model matrix not full rank"
by
swbarnes2
★ 1.3k
Replicate numbers, like the 1 in control_1 are fine in sample names, but never add them to anything else in colData. From the computer's p…
Answer: limma Intercept vs No-intercept models completely changing DMR results?
by
Gordon Smyth
50k
I'll add a little bit of general advice to James' answer. You seem to have the misunderstanding that you can change the design matrix but …
Answer: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
It is true that goseq isn't available for Bioc 3.19. That is because goseq depends on txbmaker, which is itself not yet available for Bioc…
Answer: limma Intercept vs No-intercept models completely changing DMR results?
by
James W. MacDonald
65k
This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…
Comment: CombineArrays for EPIC and EPIC V2
by
Kim
• 0
Thank you Tim, this is a great help in getting me started!
Votes
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
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