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Assess fit of variance prior
limma
updated 23 months ago by 53k • written 23 months ago by ▴ 30
0
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1
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3.4k
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Comment: Comment: Different DESeq2 results (both FC and pvalue) by changing col/row orders in inpu
3.4 years ago Frederik Ziebell ▴ 30
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0
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1.4k
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Comment: Comment: running apeglm on a normal model and multiple coefficients
3.6 years ago Frederik Ziebell ▴ 30
1
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2
replies
1.4k
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running apeglm on a normal model and multiple coefficients
shrinkage apeglm
3.6 years ago Frederik Ziebell ▴ 30
0
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1
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1.3k
views
Wrong stdev.unscaled from contrasts.fit when lmFit contains a weights matrix
limma
updated 4.3 years ago by 53k • written 4.3 years ago by ▴ 30
0
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1
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1.0k
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Comment: C: fitFDist() shows poor fit if df1=1
5.2 years ago Frederik Ziebell ▴ 30
1
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3
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1.0k
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fitFDist() shows poor fit if df1=1
limma
updated 5.2 years ago by 53k • written 5.2 years ago by ▴ 30
1
vote
1
reply
1.8k
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Using RUVs with known batches
ruvseq deseq2
updated 6.3 years ago by 43k • written 6.3 years ago by ▴ 30
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1
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1.4k
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Comment: C: lmFit very slow if there are missing values
6.3 years ago Frederik Ziebell ▴ 30
0
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3
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1.4k
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lmFit very slow if there are missing values
limma
updated 6.3 years ago by 53k • written 6.3 years ago by ▴ 30
0
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2
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7.9k
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Comment: C: DESeq2: Poor dispersion fit, even when a local or custom fit is used
7.5 years ago Frederik Ziebell ▴ 30
0
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1
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7.9k
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Comment: C: DESeq2: Poor dispersion fit, even when a local or custom fit is used
7.5 years ago Frederik Ziebell ▴ 30
0
votes
1
reply
7.9k
views
Comment: C: DESeq2: Poor dispersion fit, even when a local or custom fit is used
7.5 years ago Frederik Ziebell ▴ 30
0
votes
1
reply
7.9k
views
Comment: C: DESeq2: Poor dispersion fit, even when a local or custom fit is used
7.5 years ago Frederik Ziebell ▴ 30
0
votes
1
reply
7.9k
views
Comment: A: DESeq2: Poor dispersion fit, even when a local or custom fit is used
7.6 years ago Frederik Ziebell ▴ 30
0
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13
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7.9k
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DESeq2: Poor dispersion fit, even when a local or custom fit is used
deseq2 dispersion
7.6 years ago Frederik Ziebell ▴ 30
0
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2
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2.6k
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Comment: A: rlog transformation producing outliers with very high log-transformed counts
7.8 years ago Frederik Ziebell ▴ 30
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4
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2.6k
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rlog transformation producing outliers with very high log-transformed counts
deseq2 rlog
7.8 years ago Frederik Ziebell ▴ 30
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0
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1.4k
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Answer: A: Combine multiple sashimis stretching over the same intron
7.9 years ago Frederik Ziebell ▴ 30
1
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2
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1.4k
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Combine multiple sashimis stretching over the same intron
gviz sashimi plots
7.9 years ago Frederik Ziebell ▴ 30
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