## User: Angelos Armen

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#### Posts by Angelos Armen

<prev • 10 results • page 1 of 1 • next >
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... In the [merging vignette][1] of compareSingleCell, var.tech is computed by combineVar within multiBlockVar. combineVar, however, returns mean variances across batches. Shouldn't [pooled variances][2] be returned instead? [1]: https://github.com/MarioniLab/compareSingleCell/blob/master/ ...
written 1 day ago by Angelos Armen0
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... > Is it? Looks like it's being called with universe. Sorry my bad, you're right. ...
written 3 days ago by Angelos Armen0
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... > multiBatchNorm() is called on the universe of all common genes, not just the HVGs. This is actually important to reduce the risk of violating the non-DE assumption between batches. Sorry I meant to write > genes with positive biological variance in any batch should be selected before calli ...
written 3 days ago by Angelos Armen0
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... In the simpleSingleCell *Correcting batch effects* [vignette][1] spike-ins are available. What is the recommended workflow in the absence of spike-ins? I understand that makeTechTrend should be applied to each batch separately and then genes with positive biological variance in any batch should ...
written 4 days ago by Angelos Armen0 • updated 4 days ago by Aaron Lun24k
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... In the *Feature selection across batches* section of the simpleSingleCell *Correcting batch effects* [vignette][1], genes with positive average (across batches) biological variance are selected. What is the reasoning behind that? Why aren't genes with positive biological variance in any batch sele ...
written 4 days ago by Angelos Armen0 • updated 4 days ago by Aaron Lun24k
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Comment: C: k argument in buildSNNGraph
... > If you have a subpopulation with fewer than k+1 cells, buildSNNGraph() will forcibly construct edges between cells in that subpopulation and cells in other subpopulations. This increases the risk that the subpopulation will not form its own cluster as it is more interconnected with the rest of ...
written 4 days ago by Angelos Armen0
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... In the documentation of buildSNNGraph it says that > The choice of k can be roughly interpreted as the minimum cluster size. Can I have an explanation for this please. ...
written 13 days ago by Angelos Armen0 • updated 12 days ago by Aaron Lun24k
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... Yes that makes sense. I was thinking of cell hashing used merely to multiplex samples from different donors and/or conditions. In that case, inter-sample and intra-sample doublets would form separate clusters (as cells would cluster by sample) and your strategy wouldn't be applicable. To take full a ...
written 13 days ago by Angelos Armen0
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... Thank you for the detailed reply Aaron. The problem with cell hashing and multiplexed genotypes is that they can only detect inter-sample doublets; intra-sample doublets go undetected. Therefore computational approaches are still needed. ...
written 17 days ago by Angelos Armen0
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... Hi, In the [Detecting doublets in single-cell RNA-seq data][1] vignette, scran::computeSumFactors and scran::denoisePCA are used to compute size factors and choose the number of PCs, respectively, before using scran::doubletCluster to detect doublet clusters. However scran::doubletCells is called w ...
written 19 days ago by Angelos Armen0 • updated 19 days ago by Aaron Lun24k

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