Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations, but it has been difficult to discern whether they play an active role in the disease or are innocent bystanders. In this study, researchers at Baylor College of Medicine revealed a powerful and unbiased machine learning-based approach called FunMap for assessing the role of cancer-associated mutations and understudied proteins, with broad implications for advancing cancer biology and informing therapeutic strategies.

Leading ecologists have devised a new framework to classify how biodiversity credit operators define what a unit of nature is. The new analysis demonstrates the challenges involved with devising a biodiversity credit market to fund nature recovery, and the risks of relying too heavily on ‘offsetting.’