Ask HN: What's the best paper you've read in 2020?
This one is from 2008. There's this method from statistics called PCA that let's you reduce high dimensional data into a few (usually meaningless) newly-fabricated dimensions. It's useful to visualize complex data in 2d space.<p>In this paper, they did that with genes. And the 2d space that was left wasn't meaningless at all. It accurately recreated map of Europe.<p><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735096/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735096/</a>