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Bioc2023
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Reminder: BioC2023 in-person registration closes 19th July!
Bioconductor
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19 months ago
Maria Doyle
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May 31st is the last day to nominate for Bioc2023 Awards!
Bioconductor
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21 months ago
shepherl
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Reminder: BioC2023, Awards, TAB Deadline approaching - May 31st!
Bioconductor
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BioC2023
21 months ago
Maria Doyle
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Last Week to Nominate for Bioc2023 Awards!
Bioconductor
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21 months ago
shepherl
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Junior Developer or New Package Developer Award
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Bioc2023
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22 months ago • updated 21 months ago
shepherl
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22 months ago • updated 21 months ago
shepherl
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Bioconductor Long-term Contribution Award
Bioc2023
Bioconductor
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22 months ago • updated 21 months ago
shepherl
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22 months ago • updated 21 months ago
shepherl
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BioC2023 abstract submission is now open!
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Bioconductor
updated 6 months ago by
Ramon
• 0 • written 2.1 years ago by
Maria Doyle
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Seeking members for BioC2023 organizing committee
BioC2023
Bioconductor
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2.1 years ago
Maria Doyle
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Save the Date Bioc2023!
Bioc2023
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Bioconductor
2.3 years ago
shepherl
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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…
Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to
by
ATpoint
★ 4.7k
No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…
Votes
A: Unbalanced experiment with multiple samples from each patient.
Unbalanced experiment with multiple samples from each patient.
Answer: Vertical line at A=0, nothing else, on MA plot
Answer: GSVA Error Code "Calling gsva(expr=., gset.idx.list=., method=., ...) is defunct
Answer: Group-specific condition effects with individuals nested: matrix is not full ra
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