This is an enormous effort with great potential for helping bioinformaticians in their research.
Reports of unintended consequences due to machine learning have been greatly exaggerated!
Must read machine learning papers on performance evaluation and comparison.
Every once in a while, there appears a paper that is so good, so well-written and so packed with insights, that I would read it a few times... that I wished I had written it myself. That happened when I read this perspective paper by Jonathan Chen and Steven Asch. Normally I'd tweet a link …