'But even though the proliferation of wet-lab techniques and analytical methods has expanded access to single-cell studies, it has also muddied the waters for researchers trying to pick the best approach. The online single-cell RNA tools catalogue, scRNA-tools, lists nearly 1,400 software packages that turn single-cell data into scientific insights. How are researchers supposed to choose?'
@cyrilpedia good, accessible summary. This is a big issue that plays at the back of your mind when analysing single cell RNA-seq data - what's the "right" approach & package to use?
@gpollara As they point out here, the path is arduous but clear:
"The solution to the field’s analytical abundance is benchmarking: the testing — ideally by neutral parties — of multiple methods, often applied to several kinds of data set, to determine which method works best for different purposes. "
