Work

Constructing Predictive Cancer Systems Biology Models

Year: 2018

Type: preprint

Abstract: Systems biology combines computational modeling with quantitative experimental measurements to study complex biological processes. Here, we outline an approach for parameterizing and validating a systems biology model to yield predictive tool that can generate testable hypotheses and expand biological understanding.

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.1101/360800

Authors: Jennifer A. Rohrs, Sahak Z. Makaryan, Stacey D. Finley

Institution: University of Southern California

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Cancer Institute

Awards: G3776884391, CAREER: Mathematical modeling of angiogenesis signaling and crosstalk in tumor cells