@inproceedings{1608031a26e547c1ab0c5b391876080b,
title = "Heterogeneity in cancer dynamics: A convex formulation to dissect dynamic trajectories and infer LTV models of networked systems",
abstract = "Breast cancer tumors have inherently heterogeneous cell types that respond differently to treatments. Although there is a wealth of studies describing canonical cell signaling networks, little is known about how these networks operate in different cancer cells and treatments. This paper proposes a method to split a set of responses gathered from experiments on different cancer cells up into common and specific components. The key to this retrieval is the derivation of a linear timevarying model of the shared dynamics among the different cell lines. A convex optimization problem is derived that retrieves both the model and the common and specific responses without a priori information. The method is tested on synthetic data, and verifies known facts when tested on a biological data set with protein expression data from breast cancer experiments. The technique can be used to analyze specific responses to understand what treatments can be combined to persistently treat a heterogeneous cancer tumor. The linear time-varying model sheds light on how proteins interact over time.",
author = "Roel Dobbe and Chang, {Young Hwan} and Jim Korkola and Joe Gray and Claire Tomlin",
year = "2015",
month = jul,
day = "28",
doi = "10.1109/ACC.2015.7172021",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4398--4403",
booktitle = "ACC 2015 - 2015 American Control Conference",
note = "2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
}