Closed danielcgingerich closed 4 years ago
For transfer anchors, we would suggest the dimensionality of the reference dataset.
I am sorry but it was unclear to me.
The process includes two steps which are FindTransferAnchors and TransferData. They both have the dims parameter. Do you mean for both of them we should prioritise reference over query set for the number of dimensions?
I am sorry but it was unclear to me.
The process includes two steps which are FindTransferAnchors and TransferData. They both have the dims parameter. Do you mean for both of them we should prioritise reference over query set for the number of dimensions?
Hi ElyasMo,
According to the vignettes from Signac, I think for FindTransferAnchors
we should use the reference dim while for the TransferData
we should use the query dim. You can see that in the vignettes of Signac. FindTransferAnchors
uses 1:40
while in the TransferData
, dim = 2:30
. Given that usually, we won't include the first dim in ATAC-seq, I guess in the TransferData
we should use the query's dim.
I am using FindTransferAnchors() and TransferData() to annotate cell types using a reference dataset. My reference dataset is much larger than my query dataset. As such, when performing jackstraw, each dataset has a different number of significant principal components. So, for the "dims =" argument of the FindTransferAnchors and TransferData functions, since the reference and query each have a different number of significant PC's, which one should I put in this argument? Is "dims =" referring to the dimensions of the query object? R documentation does not specify.