clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
Table 2
Computational costs: For each of the above runs, we give the total number of hours, total CPU time, and maximum memory usage to run the RSEC workflow when parallelized across 15 cores on an AMD Opteron(TM) Processor 6272 node with 270GB of RAM.
The olfactory analysis consisted of 432 clusterings, while that of the hypothalamus of only 14.