Bioconductor Deseq

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DESeq DESeq

15.3 years ago Graham Thomas ▴ 20

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DESeq DESeq

updated 15.3 years ago by Naomi Altman ★ 6.0k • written 15.3 years ago by Pete Shepard ▴ 240

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Normalization DEGseq DESeq Normalization DEGseq DESeq

15.3 years ago sunghee OH ▴ 50

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edgeR DEGseq DESeq edgeR DEGseq DESeq

updated 15.3 years ago by Simon Anders ★ 3.8k • written 15.3 years ago by sunghee OH ▴ 50

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DESeq DESeq

updated 15.4 years ago by Vincent J. Carey, Jr. 6.7k • written 15.4 years ago by Jinyan Huang ▴ 190

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DESeq DESeq

15.4 years ago Andreia Fonseca ▴ 810

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993

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DESeq DESeq

updated 15.4 years ago by Wolfgang Huber ★ 13k • written 15.4 years ago by Andreia Fonseca ▴ 810

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GO DESeq GO DESeq

updated 15.5 years ago by Naomi Altman ★ 6.0k • written 15.5 years ago by michael watson IAH-C ★ 3.4k

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edgeR DEGseq DESeq edgeR DEGseq DESeq

updated 15.5 years ago by Naomi Altman ★ 6.0k • written 15.5 years ago by michael watson IAH-C ★ 3.4k

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RNASeq DESeq RNASeq DESeq

updated 15.6 years ago by Simon Anders ★ 3.8k • written 15.6 years ago by Andreia Fonseca ▴ 810

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RNASeq DESeq RNASeq DESeq

15.6 years ago Simon Anders ★ 3.8k

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RNASeq DESeq RNASeq DESeq

15.6 years ago Jinfeng Liu ▴ 10

512 results • Page 11 of 11

Recent ...

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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"]) ```

Votes

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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Scholar to Gordon Smyth 53k