Bioconductor Batchqc

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877

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BatchQC BatchEffect rnaseqGene Normalization

updated 18 months ago by jessica.anderson ▴ 10 • written 18 months ago by Đình Vinh • 0

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BatchQC BatchEffect RNASeq

updated 18 months ago by jessica.anderson ▴ 10 • written 18 months ago by ttt • 0

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1.6k

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BatchQC batchinDeseq2. columnsincolData.

18 months ago Galina • 0

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2.5k

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BatchQC RNASeqData sva BatchEffect

updated 2.4 years ago by ATpoint ★ 5.0k • written 2.4 years ago by amnahsiddiqa ▴ 10

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1.5k

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TCGAbiolinks BatchQC BatchEffect

updated 2.3 years ago by wrab425 • 0 • written 2.7 years ago by snijesh ▴ 200

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BatchQC

updated 4.7 years ago by Malcolm Cook ★ 1.6k • written 4.7 years ago by Josh • 0

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BatchQC RNA-seq R Shiny batch-effect

5.6 years ago manninm • 0

7 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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