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ME Research UK – May e-newsletter Articles Link

Perspective: host factors variants and the underlying causes of long COVID Tirasak Pasharawipas Long COVID, also known as post-COVID syndrome (PCS), is characterized by persistent and unexplained symptoms that can occur not only in individuals who experienced severe symptoms during the acute...

R stresses me out because I'm not very familiar with it, so when I'm not in a patient mood I just use Python. Computer's away for the night, but I'll do a linear model tomorrow.

Here's with merging on all rows from both studies using TargetFullName. Spearman r of .23

Yes the fact that this is not a thing has been irritating me all day as I crudely try to match up genes from one study with a single other study. It basically feels like it would be free data if such a database existed. There are many 'omics studies that would be great to cross-reference...

Since they did the validation portion, it seemed worth checking if there was overlap between the 57 proteins in that part with the thousands in the first part and in Germain. There were overlaps in 51 genes between all three cohorts. In 19 genes, the fold change was in the same direction. Only...

@ME/CFS Skeptic My plot looks the same by the way. Here are the three genes that were changed in the same direction in both studies and had a q value less than .05 in both: Edit: Added links to GeneCards.

Yeah, I think it's good enough for a rough idea.

I think TargetFullName might be best actually. Multiple aptamers can be associated with the same gene identifier, but I assume they each have a unique TargetFullName. If matching on UniProt, if either dataset has multiple aptamers per UniProt ID, you'll get arbitrary pairs of measurements...

Oh, another identifier, didn't notice that one. I do get 672 with that. I'm going to try merging where any of the columns match. Could you explain this a bit more:

I'm running into the issue when merging with an inner join of not having a consistent identifier. If I merge on 'UniProt', I get 682 rows. If I merge on 'EntrezGeneSymbol' I get 655. If I merge on 'EntrezGeneID', I get 631. Not sure how yours is different from all of these. It's different...