In Silico Generation of Alternative Hypotheses Using Causal Mapping (CMAP)
Maryna Kapustina, Gabriel E. Weinreb, Ken Jacobson, Timothy C. Elston · Carolina Digital Repository (University of North Carolina at Chapel Hill) · 2020
Previously, we introduced causal mapping (CMAP) as an easy to use systems biology tool for studying the behavior of biological processes that occur at the cellular and molecular level. CMAP is a coarse-grained graphical modeling approach in which the system of interest is modeled as an interaction map between functional elements of the system, in a manner similar to portrayals of signaling pathways commonly used by molecular cell biologists. CMAP describes details of the interactions while maintaining the simplicity of other qualitative methods (e.g., Boolean networks).