## User: mikhael.manurung

Reputation:
170
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Location:
Netherlands
mikhaeldito313
Last seen:
23 hours ago
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12 months ago
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PhD Student @ LUMC.

#### Posts by mikhael.manurung

<prev • 69 results • page 1 of 7 • next >
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... Then you should refer to this [link][1] for in-depth reading on contrast matrix. [1]: https://stats.stackexchange.com/questions/78354/what-is-a-contrast-matrix ...
written 1 day ago by mikhael.manurung170
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... Are you sure you want to do THAT many comparisons? Could you elaborate on what are those 'groups' actually correspond to? How was your MDS plot? Do you see any clustering of the samples? I can't imagine the number of pairwise comparisons if you want to do your contrast No. 3 (Well, I actually can. ...
written 16 days ago by mikhael.manurung170
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... You can do that even when the data came from two different projects? Seems like the batch issue in this case is not simply multiple runs of the same instrument but other things are different as well. ...
written 19 days ago by mikhael.manurung170
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... If you DO know the batches, then what swbarnes2 recommended is the best option. If you don't know then you could use sva. In your case, however, I don't think that it's wise to just combine the data because it seems that you use different platforms for the sequencing. Could you show us the MDS ...
written 19 days ago by mikhael.manurung170
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... Have you tried sva? ...
written 21 days ago by mikhael.manurung170
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... Based on your snippets, you are actually doing it the other way around. Using ~ 0 + in your model matrix will actually give you the non-intercept design. ...
written 23 days ago by mikhael.manurung170
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... Are you looking for pathways that are regulated differently across the groups after a similar condition change? Then I guess you can test for interaction term. See this [post][1] as an example. Hint: results(dds, type="LRT", full= ~ group + condition + group:condition, reduced= ~ group + condition ...
written 23 days ago by mikhael.manurung170
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... If you tick the ordered query` button then it will consider the input as a pre-ranked list of genes for GSEA. ...
written 23 days ago by mikhael.manurung170
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... You can do either an overrepresentation analysis (ORA) or gene-set enrichment analysis (GSEA). Those two are entirely different but many seems to got it wrong. In an overrepresentation analysis, the input is the significant genes after differential expression analysis. You can combine both up/downr ...
written 27 days ago by mikhael.manurung170
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... Oh please don't worry about that, there's always a moment in our life when we are a beginner in something. If I understand correctly, so you want to compare the module eigengene between host A and host B, right? Perhaps you can get the moduleEigengene and then do a simple t-test to compare the modu ...
written 27 days ago by mikhael.manurung170

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