I'm going to leave this here. I think it's a really intesting study, but I'm a little surprised by the conclusions. Caution is always good, and this paper is all about limitations of blood (spot?) forensics. While machine learning classifiers appear underpowered to make accurate determinations, I really wonder if a targeted analysis of specific proteins and peptides - in this same set of data - would come up with the same limitations....
Also - in case you haven't seen it, last week we dropped a new podcast that was also on Proteomic Forensics (in wildlife!)! Get it wherever you get podcasts and things.
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