Estimating Cellular Goals from High-Dimensional Biological Data

  title={Estimating Cellular Goals from High-Dimensional Biological Data},
  author={L. Yang and M. Saunders and J. Lachance and B. Palsson and Jos{\'e} Bento},
  journal={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
  • L. Yang, M. Saunders, +2 authors José Bento
  • Published 2019
  • Computer Science, Mathematics
  • Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Optimization-based models have been used to predict cellular behavior for over 25 years. [...] Key Method Existing approaches to learning goals from data include (a) estimating a linear objective function, or (b) estimating linear constraints that model complex biochemical reactions and constrain the cell's operation. The latter approach is important because often the known reactions are not enough to explain observations; therefore, there is a need to extend automatically the model complexity by learning new…Expand
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