Fig. 1
From: CanSeer: a translational methodology for developing personalized cancer models and therapeutics
Algorithmic pipeline for personalized cancer therapeutics: (1) Development of network models from literature and databases with dynamical analysis and validation, (2) Omics data acquisition, pre-processing, and normalization, (3) Patient-specific model personalization and cell fate analysis, and (4) Therapeutic screening for identifying optimal drug regimens.
