Bioconductor Fold change

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R deseq2 edger differential gene expression fold change

updated 3.6 years ago by ATpoint ★ 5.0k • written 7.4 years ago by Beginner ▴ 60

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updated 4.6 years ago by Joe Nicholas • 0 • written 6.9 years ago by joseluis.ruiz • 0

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updated 6.4 years ago by Aaron Lun ★ 29k • written 6.4 years ago by ilovesuperheroes1993 • 0

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7.4 years ago prakashpandey1111 • 0

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updated 7.7 years ago by James W. MacDonald 68k • written 7.7 years ago by Arindam ▴ 80

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updated 9.3 years ago by Gordon Smyth 53k • written 9.3 years ago by Claudia ▴ 10

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edgeR DE analysis fold change cpm

updated 9.3 years ago by Ryan C. Thompson ★ 7.9k • written 9.3 years ago by Sara ▴ 20

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Comment: upstream git branches of bioc-release by TrentonCollier99 • 0

Thank you very much for taking the time to answer the question. I really appreciate your insights and comments. https://bioc-release.r-univ…

Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication? by Ahmed Salah • 0

Thank you very much! will take that into consideration

Comment: Large logFC but somewhat high FDR by JKim • 0

Thank you very much for taking the time to answer the question. I really appreciate your insights and comments.

Comment: upstream git branches of bioc-release by Jeroen ▴ 10

OK I have updated https://bioc-release.r-universe.dev accordingly. Let me know if you find version differences when mirroring binaries.

Comment: Large logFC but somewhat high FDR by Gordon Smyth 53k

I don't know what `tp1` is. The relevant histogram would be: ``` hist(fit2$p.value[,"KO_vs_WT"]) ```

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Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?

Answer: Large logFC but somewhat high FDR

Comment: upstream git branches of bioc-release

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