Closed nicinkjh closed 2 years ago
Hi,
I can double check it try to have it solved by end of next week.
Thanks for opening an issue :)
Hi again,
You are right, I think the issue likely arises from the PCA dimensionality reduction which is by default set to 50 PCs. However, I'm not sure if setting it to a lower value on my side would be the best solution either, as I prefer to keep the tool as generalize as possible, and I think the comparatively low dimensionality of your dataset is a bit specific.
One solution could be to fork the repo and change the following line on your side:
scaled_object <- RunPCA(scaled_object, features = VariableFeatures(object = scaled_object))
to e.g.
scaled_object <- RunPCA(scaled_object, features = VariableFeatures(object = scaled_object), npcs=30)
Also, at this stage, BingleSeq does not support external metadata for scRNA-Seq.
Thanks!
I have two questions. 1) Is it possible to load metadata for single cell RNAseq in BingleSeq?
2) I have 10x count data of 49 cells which are fewer than 50. It creates issue when running unsupervised clustering, because default setting is 50 cells. But I cannot change in BingleSeq module.
Warning: Error in irlba: max(nu, nv) must be strictly less than min(nrow(A), ncol(A))
Do you have suggestion?
Thanks,