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pd.clariom.d.human
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Identifying multiple mappings with pd.clariom.d.human
clariomdhumantranscriptcluster.db
MicroarrayData
Microarray
pd.clariom.d.human
2.0 years ago • updated 24 months ago
amir.rakhimov.b
• 0
2
votes
5
replies
1.7k
views
Summarize Microarray data on a transcript level
pd.clariom.d.human
oligo
clariomdhumanprobeset.db
updated 3.4 years ago by
James W. MacDonald
65k • written 3.4 years ago by
mailtoshivam13
• 0
1
vote
3
replies
852
views
Selecting probe data from Clariom D assays using the fid probe tags
clariom
pd.clariom.d.human
updated 5.5 years ago by
James W. MacDonald
65k • written 5.5 years ago by
AliStair Rust
• 0
0
votes
1
reply
898
views
Affy ClariomD human transcriptome annotation
affy
annotation
pd.clariom.d.human
updated 6.3 years ago by
James W. MacDonald
65k • written 6.3 years ago by
anitabaery
• 0
1
vote
1
reply
1.2k
views
Unknown gene names in pd.clariom.d.human annotation package
microarray
pd.clariom.d.human
updated 6.3 years ago by
James W. MacDonald
65k • written 6.3 years ago by
Antonio Ahn
▴ 10
1
vote
6
replies
1.6k
views
Remove a list of specific probes from an HTAFeatureSet
pd.clariom.d.human
affy
probe
updated 7.2 years ago by
James W. MacDonald
65k • written 7.2 years ago by
jacorvar
▴ 40
6 results • Page
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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!
Comment: Too many significant genes when integrating gtex and tcga
by
Michael Love
41k
Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…
Votes
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
A: Print Differentially Expressed Exons From Dexseq Results
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