Bioconductor Shiny apps

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bioinformatics rna-seq shiny apps R algorithm development Job

4.4 years ago mmartin ▴ 20

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Comment: Use of limma R package with targeted proteomics for DE analysis by svlachavas ▴ 840

Dear Gordon, thank you for returning back ! Actually the output is not "NPX"-as indeed it most frequent output for a lot of pannels-but as …

Comment: how many significant figures are there in DESeq2 output by ATpoint ★ 4.7k

If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…

Comment: Compare TCGA-PAAD with GTEx gene expression by Jane • 0

why aren't there any answers?

Comment: Too many significant genes when integrating gtex and tcga by Jane • 0

I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…

Comment: how many significant figures are there in DESeq2 output by Matthew McCormack ▴ 180

Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…

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