Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways.

ABSTRACT: Understanding the functional properties of cells of different origins is a long-standing challenge of personalized medicine. Especially in cancer, the high heterogeneity observed in patients slows down the development of effective cures. The molecular differences between cell types or between healthy and diseased cellular states are usually determined by the wiring of regulatory networks. Understanding these molecular and cellular differences at the systems level would improve patient stratification and facilitate the design of rational intervention strategies. Models of cellular regulatory networks frequently make weak assumptions about the distribution of model parameters across cell types or patients. These assumptions are usually expressed in the form of regularization of the objective

SUBMITTER: De Landtsheer S 

PROVIDER: S-EPMC5972629 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature