0
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1
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893
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p value after enrichPeakOverlap analysis in ChIPseeker
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1
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WGCNA soft thresholding suggesting a power of 1
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863
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11 months ago pg45863 ▴ 10
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6
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Merge 2 accounts, or delete 1 account.
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11 months ago • updated 10 months ago simone.tiberi • 0
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1
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840
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Point mutation to corresponding amino acid
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How can we use the organism database created by makeorgPackageFromNCBI to KEGG and GO analysis using clusterprofiler package.
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updated 5 months ago by ★ 3.9k • written 5 months ago by • 0
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2
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814
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Finding Modules with WGCNA - Collapsing Biological Replicates in Expression Data - Then Finding Eigengenes on Previously Found Modules
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797
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updated 11 months ago by • 0 • written 17 months ago by • 0
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772
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solution of boot.phylo()'s problem
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10 months ago nils.eling • 0
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682
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updated 9 months ago by ▴ 210 • written 10 months ago by ▴ 10
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3 months ago bd2000 ▴ 30
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7
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9 months ago Cen • 0
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updated 10 months ago by ★ 3.9k • written 10 months ago by 6.7k
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4 months ago Dan • 0
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11 months ago Monika • 0
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1
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11 months ago Michael Steinbaugh ▴ 90
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606
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DNABarcodes: issue with wrong barcode decoding
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591
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11 months ago Ido • 0
0
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3
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590
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TPP2D::import2dDataset() does not return value
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updated 9 months ago by ▴ 20 • written 9 months ago by ▴ 40
0
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582
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10 months ago Alexandros • 0
0
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4
replies
581
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Pairwise comparison for DEG analysis
limma
updated 9 months ago by ★ 4.1k • written 10 months ago by • 0
397 results • Page 2 of 8
Recent ...
Replies
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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