I am new to scrna seq analysis and other type of analyses on single cell data. My current dataset contains roughly 90K cells and 23K genes and I want to perform LR interaction analysis. I have been running into memory issues while running these analysis pipelines- SingleCellSignalR and Omnipath. I also wanted to test if my seurat cluster analysis is optimal, therefore decided to use R package-ChooseR. And again I ran into memory issues.
Machine Details: Azure Windows VM (64GB RAM and 128GB Temp Storage) and R 64bit version.
Please suggest any steps how I can overcome this type of memory issues. Thank you in advance for your help :)
HI Parashar, thanks for the post - it looks like a nice piece of software. It's usually the done thing to let people know you are the author of a library/software when sharing it. Not accusing you of anything untoward, just letting you know :)