32 citations · 62 across the 5 of their papers we have counts for
5 papers
Causal identification with
Charles Tapley Hoyt, Craig Bakker, Richard J. Callahan +11
We present the Python package, which implements causal identification algorithms that apply interventional, counterfactual, and transportability queries to data from (randomi…
Experimental design for causal query estimation in partially observed biomolecular networks
Sara Mohammad-Taheri, Vartika Tewari, Rohan Kapre +5
Estimating a causal query from observational data is an essential task in the analysis of biomolecular networks. Estimation takes as input a network topology, a query estimation me…
Do-calculus enables estimation of causal effects in partially observed biomolecular pathways
Sara Mohammad-Taheri, Jeremy Zucker, Charles Tapley Hoyt +4
Estimating causal queries, such as changes in protein abundance in response to a perturbation, is a fundamental task in the analysis of biomolecular pathways. The estimation requir…
Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks
R. Bradford, J. H. Davenport, M. England +8
We consider a problem from biological network analysis of determining regions in a parameter space over which there are multiple steady states for positive real values of variables…
A Case Study on the Parametric Occurrence of Multiple Steady States
Russell Bradford, James H. Davenport, Matthew England +8
We consider the problem of determining multiple steady states for positive real values in models of biological networks. Investigating the potential for these in models of the mito…