Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it

@inproceedings{Karlsson2015NonlinearMM,
  title={Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it},
  author={Markus Karlsson and David Janz{\'e}n and Lucia Durrieu and Alejandro Colman-Lerner and Maria Kjellsson and Gunnar Cedersund},
  booktitle={BMC Systems Biology},
  year={2015}
}
Studies of cell-to-cell variation have in recent years grown in interest, due to improved bioanalytical techniques which facilitates determination of small changes with high uncertainty. Like much high-quality data, single-cell data is best analysed using a systems biology approach. The most common systems biology approach to single-cell data is the… CONTINUE READING