Active learning enables evolutionary discovery and characterization of fungal transcriptional activators
Biological discovery and design are increasingly guided by predictive models trained on data from high-throughput technologies rather than costly experiments. However, existing datasets are often biased by overrepresentation of model organisms, causing models to fail in evolutionary studies of non-model species....