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GDCprepare
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460
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Error in GDCDownload and GDCPrepare for TCGA-PAAD Dataset
GDCPrepare
GDCDownload
13 months ago
Manav
• 0
0
votes
0
replies
1.1k
views
GDCprepare error in TCGAbiolinks
tcgabiolinks
gdcprepare
differential expression
3.9 years ago
fawazfebin
▴ 60
4
votes
5
replies
2.0k
views
GDCprepare - error
TCGABiolinks
GDCprepare
4.2 years ago
vm
▴ 30
2
votes
2
replies
1.3k
views
TCGAbiolinks GDCprepare error
TCGAbiolinks
GDCprepare
error
updated 4.2 years ago by
Tiago C. Silva
▴ 270 • written 4.2 years ago by
Talip Zengin
▴ 10
1
vote
5
replies
1.3k
views
Issue with TCGAbiolinks package.
TCGA
GDCprepare
4.6 years ago
salvocomplicazioni1
• 0
0
votes
2
replies
1.5k
views
GDCprepare stop working for some unknown reason
tcgabiolinks
gdcprepare
updated 4.8 years ago by
James W. MacDonald
63k • written 4.8 years ago by
ansari.sarabio
• 0
0
votes
0
replies
694
views
Reasoning for illegal operation
tcgabiolinks
illegaloperation
gdcprepare
5.8 years ago
lisa8191
• 0
0
votes
1
reply
1.4k
views
How to get treatment information with TCGAbiolinks?
gdcprepare
tcgabiolinks
treatment_type
R
data extraction
updated 6.3 years ago by
Dario Strbenac
★ 1.5k • written 6.3 years ago by
newbie
• 0
0
votes
3
replies
1.2k
views
TCGA controlled data
R
tcgabiolinks
gdcprepare
6.4 years ago
ugandhar.ch1
• 0
0
votes
2
replies
3.4k
views
Extract gene expression values from GDCprepare object
tcgabiolinks
tcga
tcgadownload
gdcprepare
gdc
updated 6.5 years ago by
Tiago Chedraoui Silva
▴ 260 • written 6.7 years ago by
enigmargs
• 0
0
votes
8
replies
2.3k
views
TCGAbiolinks GDCprepare fails to connect to Biomart web server
tcgabiolinks
gdcprepare
7.0 years ago
sabarinath.chandrasekharan
▴ 10
0
votes
1
reply
1.0k
views
Error during GDCprepare
tcgabiolinks
gdcprepare
updated 7.1 years ago by
Tiago C. Silva
▴ 270 • written 7.1 years ago by
Mariana Boroni
▴ 10
12 results • Page
1 of 1
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Comment: DESeq2, results(dds, name = <reference>) interpretation results
by
Rockbar
• 0
When I apply the model.matrix approach for getting the contrasts, the code > mod_mat <- model.matrix(design(dds), colData(dds)) > CondA.t…
Comment: DESeq2, results(dds, name = <reference>) interpretation results
by
Rockbar
• 0
Yes, I agree, the correct contrast setting is quite challenging. The vignette says >contrast: a list of 2 character vectors: the names of…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Michael Love
40k
Advantage and disadvantage depends on the aim, what you plan to do with them (testing, plots, etc.). lengthScaledTPM puts back *in* the ge…
Comment: DESeq2, results(dds, name = <reference>) interpretation results
by
James W. MacDonald
63k
No, putting -1 in the design matrix is a cell means model, which is the opposite. If you used `~ Cond + Cond:Time`, you would specify a fac…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response and apologies for my late reply. I think I´m starting getting the concept now. The hints with the cqn is quite …
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Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Remove duplicates of colData in TreeSummarizedExperiment
Answer: Remove duplicates of colData in TreeSummarizedExperiment
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