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 ...

Apples and Oranges Comparing algos to algos, so to speak, is complicated, where every broker's algorithm is designed to be better, faster and more cost-efficient. Domowitz notes that the issue is not ...

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.

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.