Bioconductor Confounders

Showing : confounders • reset

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scRNA-seq MAST confounders

updated 5.9 years ago by Andrew_McDavid ▴ 280 • written 5.9 years ago by ramonmassoni ▴ 10

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limma limma-voom limma design matrix confounders

updated 7.4 years ago by Aaron Lun ★ 29k • written 7.4 years ago by S.Bamopoulos ▴ 10

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deseq2 confounders nanostring rnaseq differential gene expression

updated 7.7 years ago by Michael Love 43k • written 7.7 years ago by kim.malek88 • 0

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ruvseq deseq2 model.matrix confounders

updated 8.3 years ago by davide risso ▴ 980 • written 8.3 years ago by heikki.sarin ▴ 10

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deseq2 confounders design matrix rnaseq

8.6 years ago lina.faller ▴ 10

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2.4k

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minfi bumphunter confounders

updated 8.7 years ago by James W. MacDonald 68k • written 8.7 years ago by gft219 • 0

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edgeR paired samples confounders model.matrix

updated 9.4 years ago by Ryan C. Thompson ★ 7.9k • written 9.4 years ago by manasishah86 ▴ 30

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deseq2 rnaseq_analysis variancestabilizingtransformation confounders

updated 9.5 years ago by Michael Love 43k • written 9.5 years ago by ompandey ▴ 10

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Deseq2 dds confounders

updated 9.9 years ago by Michael Love 43k • written 9.9 years ago by colaneri ▴ 30

9 results • Page 1 of 1

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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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