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Showing :
Michael Love
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3
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958
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DESeq2 time course with two genotypes
deseq2
timecourse
michael love
multiple time points
4.6 years ago
cp1015
• 0
0
votes
4
replies
730
views
DESeq2 Design Formula
DESeq2
michael love
updated 5.3 years ago by
Michael Love
42k • written 5.3 years ago by
gkuffel
▴ 10
0
votes
1
reply
1.0k
views
DESeq2 PCA plotting
deseq2
michael love
updated 5.4 years ago by
Michael Love
42k • written 5.4 years ago by
sam.far.7
• 0
1
vote
11
replies
1.6k
views
Need help with DESeq2's contrast feature
deseq2
michael love
updated 5.7 years ago by
Michael Love
42k • written 5.7 years ago by
Ashu
▴ 10
2
votes
3
replies
1.5k
views
DESeq2 for time series using time as continuous and looking at effect of time on DE
deseq2
timecourse
multiple time points
mlr
michael love
updated 5.9 years ago by
Michael Love
42k • written 5.9 years ago by
ap874
• 0
5
votes
10
replies
11k
views
Constructing tx2gene for Salmon txImport Quantification using Gencode Mouse Transcript Annotation
Michael Love
Salmon
tximport
tx2gene
updated 6.2 years ago by
Michael Love
42k • written 6.2 years ago by
pvd2107
▴ 30
6 results • Page
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Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go! And for comparisons between the cohorts I presume duplicateCorrelation with standar…
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …
Comment: Extremely small p-values using Limma for proteomic data
by
Abbey
• 0
This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look! ``` # Load necessary …
Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
Probably. I would not expect such large fold changes. But without seeing your code, who knows?
Votes
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
Bioconductor 3.19 is Released!
A: Volcanoplot with limma - RAW P-values or Adj.P-Values
Answer: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it
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