Xuying Zheng

2 weeks ago | biorxiv.org | Sebastian VARELA |Xuying Zheng |Joyce N. Njuguna |Erik J. Sacks

AbstractMachine learning (ML) can accelerate biological research. However, the adoption of such tools to facilitate phenotyping based on sensor data has been limited by: (1) the need for a large amount of human-annotated training data for each context in which the tool is used; and (2) phenotypes varying across contexts defined in terms of genetics and environment. This is a major bottleneck because acquiring training data is generally costly and time-consuming.