Bioconductor Affy

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GEO affy

5 weeks ago • updated 4 weeks ago Kurtis • 0

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maplot_function rma_function ExpressionSet MicroarrayData affy

6 weeks ago Mj.A. • 0

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368

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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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Pathways probe affy Pathways probe affy

written 17.7 years ago by mike Ad. ▴ 30

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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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Bioconductor Install affy

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

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621

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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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affy affy

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

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multtest affy multtest affy

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

9 results • Page 1 of 1

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Comment: Extremely small p-values using Limma for proteomic data by James W. MacDonald 65k

If you ever find yourself using the `@` function, you should reconsider what you are doing. There are vanishingly small instances when an e…

Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 42k

Here is some example code <https://gist.github.com/mikelove/cbbc84634b6854c865cb5eb08ad9b245>

Comment: How to use spike-in information (sequences from another species) with DESeq2::DE by maria.soler • 0

Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…

Answer: Differential gene expression analysis results by ATpoint ★ 4.1k

Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…

Comment: deseq2 results by sajadahmad41454 • 0

thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.

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Comment: Log-cpm values from limma

Comment: deseq2 results

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

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