QCB postdoc Dr. Xiaojun Wu (first author, left) and CBB student MeiLu McDermott (middle) from Dr. Adam MacLean’s (right) lab published a paper in PLOS Computational Biology, "Data-driven model discovery and model selection for noisy biological systems". The study uses neural networks to learn unknown model equations from data, providing a practical framework for model discovery in biology in cases where data are noisy and sparse, and the underlying biological mechanisms are only partially known. Please read the paper here.
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