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S4Vectors
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Version 3.15 S4Vectors packages are missing
S4Vectors
updated 9 days ago by
shepherl
3.9k • written 9 days ago by
bounlu
• 0
2
votes
1
reply
287
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DataFrame Printing User Control
S4Vectors
updated 5 months ago by
Hervé Pagès
16k • written 5 months ago by
Dario Strbenac
★ 1.5k
0
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2
replies
581
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Using dplyr commands with DataFrame objects
S4Vectors
6 months ago
GE
• 0
5
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6
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655
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DataFrame Construction With Non-standard Column
S4Vectors
updated 7 months ago by
Hervé Pagès
16k • written 7 months ago by
Dario Strbenac
★ 1.5k
4
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4
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1.2k
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S4Vectors masking utils::findMatches is returning warnings in R 4.3 / Bioconductor 3.17
S4Vectors
written 12 months ago by
Michael Steinbaugh
▴ 90
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Comment: deseq2 results
by
swbarnes2
★ 1.3k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
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!
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 …
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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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