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Leonardo Collado Torres
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[Pre-print] Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex
biorxiv
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shepherl
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5.1 years ago
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Matthew Ritchie
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shepherl
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shepherl
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5.3 years ago
Levi Waldron
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course - Protemics with R and Bioconductor - 17-19 February 2020 in Berlin
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5.3 years ago
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5.4 years ago • updated 5.3 years ago
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5.4 years ago • updated 5.3 years ago
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5.5 years ago • updated 5.4 years ago
shepherl
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shepherl
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5.4 years ago
Thomas Maurel
▴ 800
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Bay area Biotech-Pharma Statistics Workshop, with free R user meetup (Nov 6-8)
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5.5 years ago
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shepherl
4.1k
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855
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Protemics with R and Bioconductor course in Berlin
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5.5 years ago
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985
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5.5 years ago
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5.5 years ago
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4.1k
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News:
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5.5 years ago
shepherl
4.1k
1
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595
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25k
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1.0k
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5.5 years ago
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5.5 years ago
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52k
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1.1k
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R/Bioconductor for Mass Spectrometry and Proteomics course in Berlin
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5.5 years ago
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0
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1.3k
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News:
List of Deprecated Packages Bioc 3.10
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5.6 years ago • updated 5.5 years ago
shepherl
4.1k
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0
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846
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News:
Course in Berlin- Genomics with R and Bioconductor - September 16-20
deseq2
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5.6 years ago
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5.6 years ago
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533 results • Page
6 of 11
Recent ...
Replies
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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