I am analyzing a relatively large dataset (~200 K cells) coming from multiple batches so there is a strong batch effect that I am hoping to use CellSpace to correct.
However, when I run tile.mtx <- assays(getMatrixFromProject(archr.obj, useMatrix = "TileMatrix", binarize = T))$TileMatrix , I run in the R error Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'assays': p[length(p)] cannot exceed 2^31-1 related to the size of the object.
I see in your paper that you analyzed a ~700 K cell atlas using a subsampling approach. Could you provide code (for example the code for the whole 700K atlas results) and more information about how to do this? For example, if I should subset, I would want some way of capturing the heterogeneity rather than just a random subset, and also I'm not sure how to integrate this into the rest of the CellSpace framework. Thanks for your help.
Hi, thanks for developing this software!
I am analyzing a relatively large dataset (~200 K cells) coming from multiple batches so there is a strong batch effect that I am hoping to use CellSpace to correct.
However, when I run
tile.mtx <- assays(getMatrixFromProject(archr.obj, useMatrix = "TileMatrix", binarize = T))$TileMatrix, I run in the R errorError in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'assays': p[length(p)] cannot exceed 2^31-1related to the size of the object.I see in your paper that you analyzed a ~700 K cell atlas using a subsampling approach. Could you provide code (for example the code for the whole 700K atlas results) and more information about how to do this? For example, if I should subset, I would want some way of capturing the heterogeneity rather than just a random subset, and also I'm not sure how to integrate this into the rest of the CellSpace framework. Thanks for your help.