Bioconductor Hugene20

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2.6k

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microarray hugene20 limma oligo

updated 9.6 years ago by Aaron Lun ★ 29k • written 9.6 years ago by hakimelakhrass • 0

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3.0k

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hugene20 microarray limma limma paired analysis oligo

9.6 years ago hakimelakhrass • 0

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2.9k

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limma microarray pd.hugene.2.0.st hugene20 oligo

9.6 years ago hakimelakhrass • 0

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2.7k

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hugene20 heatmap affymetrixchip

updated 10.3 years ago by alakatos ▴ 130 • written 10.3 years ago by kanacska ▴ 10

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2.8k

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microarray annotation hgu133plus2 hugene20

10.5 years ago kanacska ▴ 10

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3.1k

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affy pd.hugene.2.0.st hugene20 annotation microarray

10.5 years ago kanacska ▴ 10

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3.5k

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xps hugene20

updated 10.9 years ago by cstrato ★ 3.9k • written 10.9 years ago by Alison Ziesel ▴ 60

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Comment: WGCNA analysis on RNAseq and proteoimcs data by sum31278 • 0

Hi sagigordon, Can you share how you performed WGCNA analysis for proteomics data? Thanks

Comment: European Bioconductor Conference 2023 planning by inadequate.peacock.iiag • 0

I once faced a dilemma similar to this when coordinating a smaller local event; despite initial hesitation, I learned invaluable skills and…

Comment: ROAST compare results with complex design by Gordon Smyth 52k

It's also worth pointing out that the syntax for `camera` and `mroast` is the same, so I wonder how OP did the earlier `camera` analysis.

Answer: ROAST compare results with complex design by James W. MacDonald 68k

You are specifying that the last column of your design should be used as the contrast. You should instead use `contrast[,1]`, which will us…

Comment: How to account for solvent controls in DESeq2 when comparing follicular vs lutea by James W. MacDonald 68k

Yes. You can infer that by figuring out what each coefficient measures. Here is your design matrix: ``` > targets ID Name phase G…

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Answer: ROAST compare results with complex design

How to account for solvent controls in DESeq2 when comparing follicular vs luteal phase?

Answer: How to account for solvent controls in DESeq2 when comparing follicular vs lutea

Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi

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