Approximate parameter inference in systems biology using gradient matching: a comparative evaluation

@inproceedings{Macdonald2016ApproximatePI,
  title={Approximate parameter inference in systems biology using gradient matching: a comparative evaluation},
  author={Benn Macdonald and Mu Niu and Simon Rogers and Maurizio Filippone and Dirk Husmeier},
  booktitle={Biomedical engineering online},
  year={2016}
}
BACKGROUND A challenging problem in current systems biology is that of parameter inference in biological pathways expressed as coupled ordinary differential equations (ODEs). Conventional methods that repeatedly numerically solve the ODEs have large associated computational costs. Aimed at reducing this cost, new concepts using gradient matching have been… CONTINUE READING