top of page
Search

Dr. Xiaojun Wu and MeiLu McDermott Published a Paper in PLOS Computational Biology

  • Writer: QCB at USC
    QCB at USC
  • Feb 1
  • 1 min read

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.

 
 
 

Comments


bottom of page