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Status 1 error when using msaPrettyPrint() to make pdfs with MsaAAMultipleAlignment
msaprettyprint()
latex
pdf
msa
updated 6.8 years ago by
UBod
▴ 300 • written 6.8 years ago by
Cecil
• 0
0
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1
reply
1.7k
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Save multiple plots into single pdf from Deseq2 analysis?
plot
pdf
dev.off
updated 7.4 years ago by
Wolfgang Huber
★ 13k • written 7.4 years ago by
Bio_Ram
• 0
1
vote
2
replies
1.3k
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The descriptions of score methods in DiffBind
DiffBind
dba.count
score
manual
PDF
updated 7.9 years ago by
Rory Stark
★ 5.2k • written 7.9 years ago by
Gary
▴ 20
1
vote
1
reply
1.4k
views
embed url in pathview images
pathview
r
pdf
kegg
graphviz
updated 8.9 years ago by
Luo Weijun
★ 1.6k • written 8.9 years ago by
firstdayonthejob2003
• 0
4 results • Page
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Comment: Differene between the Wald and LRT test for time-series gene expression data
by
Denise
• 0
This makes a lot of sense, thank you very much!
Comment: Downloading Metagenomic Data with Higher Taxonomic Units
by
elozanoe
• 0
Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…
Comment: Is it recommended to analyze different tissues together when using edgeR
by
Gordon Smyth
51k
Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…
Comment: Handling Epic Array Data
by
Melisa Tecik
• 0
Thanks a lot for the help. You saved my day
Answer: Differene between the Wald and LRT test for time-series gene expression data
by
James W. MacDonald
67k
The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…
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A: correcting the batch effects in Limma and SVA
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
Answer: Differene between the Wald and LRT test for time-series gene expression data
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
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