Comparing algorithms that search for cancer mutations Scientists team up to evaluate the tools used to probe the cancer genome Date: July 17, 2017 Source: Sanford-Burnham Prebys Medical Discovery ...

Subgene algorithms provide a high-resolution view that can explain why different mutations in the same gene can lead to distinct phenotypes, depending on how they impact specific protein regions.

So are humans and algorithms mutually exclusive then? Not necessarily! Consider that for many of us, the most familiar example of a machine-learning algorithm is probably the Facebook news feed.