## User: gil.hornung

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2 years, 9 months ago
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g**********@weizmann.ac.il

#### Posts by gil.hornung

<prev • 18 results • page 1 of 2 • next >
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... Hi,   The Glimma package is great for exploring Differential Expression results, but it requires R version >= 3.4.0  Unfortunately, in my organisation the production pipeline relies on R 3.2.1  If I "hack" the Glimma package and change the Depends line in the DESCRIPTION file to `Depends: R ...
written 7 months ago by gil.hornung0 • updated 7 months ago by Shian Su10
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Answer: A: Affymetrix Mogene 1 0 ST
... I was also wondering about the normgene->exon and normgene->intron probe types, and after a long search found it in the "Quality Assessment of Exon and Gene Arrays" whitepaper from Affymetrix. This is the current link: https://tools.thermofisher.com/content/sfs/brochures/exon_gene_arrays_qa_ ...
written 7 months ago by gil.hornung0
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... Thank you Gordon and James for the fast and helpful answers. I used "1+" in my model and it worked fine.   Al the best ,   Gil ...
written 11 months ago by gil.hornung0
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... Hi, I am trying to analyse my proteomics data (intensity based label free quantification) using Limma. When I look at the MD plot after limma fit, I see a strong correlation between log-fold-change and average-log-expression. What could cause this odd behaviour and how can I fix it? Thanks, Gil ...
written 11 months ago by gil.hornung0 • updated 11 months ago by Gordon Smyth35k
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... Thanks Aaron! ...
written 13 months ago by gil.hornung0
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... Hi, I am interested in H3K9me2 signal (in S. Pombe), which is abundant on telomeres and centromeres. These regions are notorious for being highly repetitive. I clearly see an effect between treated and control samples in the coverage on telomeres, and I would like to quantify these differences usin ...
written 13 months ago by gil.hornung0 • updated 13 months ago by Aaron Lun21k
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Comment: C: pre-ranked GSEA within R?
... A faster GSEA is great. Did you implement it in the stable release? I'm using version 1.10.2 and it is still slow. ...
written 2.3 years ago by gil.hornung0
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... Thank you, Michael. I learned from this discussion. Indeed, the experiment was very noisy with large variation in number of reads. I'm just trying to salvage what I can. And, ofcourse, I will treat the results with a cup of salt. ...
written 2.5 years ago by gil.hornung0
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... Thanks Michael. I understand that "correlation to bad is not a desirable property", however I am concerned that one of the assumption behind the DESeq normalization, namely that the expression of most genes is reliable, does not hold in this case. Below is the MA plot. Red line is the size factor ...
written 2.5 years ago by gil.hornung0
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... Hi Michael, To my best understanding (and you are welcome to correct me), the DESeq normalization is in place to control for changes in genes that are take up most of the counts, and can then bias the total number of counts. I am not too concerned about this in this sample, because the most highly ...
written 2.5 years ago by gil.hornung0

#### Latest awards to gil.hornung

Popular Question 2.0 years ago, created a question with more than 1,000 views. For "Over-correction" in the size-factors of the DESeq2 package

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