Talks and presentations

Transforming Data Across Environments Despite Structural Non-Identifiability

July 12, 2019

Talk, American Control Conference, 2019, Philedelphia, USA

In this work, we developed a theoretical framework for batch correction in cell-free systems in the presence of parameter (structural) non-identifiability. After formally defining the problem, we develop a set of parameter consistency conditions which guarantee the accuracy of the batch correction methodology despite parameter uncertainty. We also demonstrated it on real genetic circuit behavior in two batches of cell free extracts.