Sometimes working with R within an High-Performance Computing (HPC) environment is difficult. If you use an HPC or server that uses the Slurm Workload Manager (SLURM) system for job submission, I will present an alternative that helps me a lot when I need to submit some analysis to the job queue.
This post is about a big question in single-cell analysis: how to classify/identify the cell types of my data? I would like to have an answer, but there is still no consensus.
I had been analyzing the data for a while with my friend Cleidson and we always asked ourselves, how to determine the optimal number of clusters for our data? I think this is one of the main questions when working with single-cell data.