The number of cells from scRNAseq experiment can be very large. Especially for recent 10X datasets, a dataset contains around 1.3 million cells, which is very large.
R seems to have trouble even in loading the raw gene-cell expression count table. I am not very familiar with Bioinformatics in Python, can python handle such large dataset easily?
Given such large datasets, many normalization methods which utilized Bayesian methods or optimization algorithm could be time consuming. Which language do you think that could win, R or python?
Thanks in advance.