Bioconductor Affy

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467

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GEO affy

5 weeks ago • updated 4 weeks ago Kurtis • 0

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233

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maplot_function rma_function ExpressionSet MicroarrayData affy

6 weeks ago Mj.A. • 0

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366

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frmaTools affy

updated 11 weeks ago by James W. MacDonald 65k • written 11 weeks ago by michelafrancesconi8 • 0

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2.1k

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Pathways probe affy Pathways probe affy

written 17.7 years ago by mike Ad. ▴ 30

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2.0k

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Annotation affy oligo ffpe Annotation affy oligo ffpe

written 10.3 years ago by Guest User ★ 13k

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2.2k

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Bioconductor Install affy

updated 5 months ago by ATpoint ★ 4.1k • written 17 months ago by laujihen • 0

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620

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crlmm hapmapsnp6 genomewidesnp6Crlmm affy

updated 10 months ago by Kevin Blighe ★ 3.9k • written 10 months ago by Vincent J. Carey, Jr. 6.7k

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1.3k

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affy affy

updated 9 weeks ago by Gordon Smyth 50k • written 19.0 years ago by SAURIN ★ 1.1k

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1.4k

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multtest affy multtest affy

updated 8 months ago by Amruta • 0 • written 20.7 years ago by Bob ▴ 20

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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?

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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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