Not published yet.
Many, including prominent scientists, seem to misunderstand the true cost of biomedical research and the fact that universities subsidize it beyond what they receive from the NIH.
UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead to confusion and misinterpretation.
Code is a useful representation of a data analysis for the purposes of transparency and opennness. But code alone is often insufficient for evaluating the quality of a data analysis and for determining why certain outputs differ from what was expected. Is there a better way to represent a data analysis that helps to resolve some of these questions?
A data analysis can fail if it doesn't present a coherent story and "close all the doors". Such a failure is not simply a problem with communication, but often indicates a problem with the details of the analysis itself.