110 citations · 397 across the 18 of their papers we have counts for
20 papers
Improving Estimation of the Koopman Operator with Kolmogorov-Smirnov Indicator Functions
Van A. Ngo, Yen Ting Lin, Danny Perez
It has become common to perform kinetic analysis using approximate Koopman operators that transforms high-dimensional time series of observables into ranked dynamical modes. Key to…
Gene expression noise accelerates the evolution of a biological oscillator
Yen Ting Lin, Nicolas E. Buchler
Gene expression is a biochemical process, where stochastic binding and un-binding events naturally generate fluctuations and cell-to-cell variability in gene dynamics. These fluctu…
Data-driven Optimized Control of the COVID-19 Epidemics
Afroza Shirin, Yen Ting Lin, Francesco Sorrentino
Optimizing the impact on the economy of control strategies aiming at containing the spread of COVID-19 is a critical challenge. We use daily new case counts of COVID-19 patients re…
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification
Yen Ting Lin, Jacob Neumann, Ely Miller +7
To increase situational awareness and support evidence-based policy-making, we formulated two types of mathematical models for COVID-19 transmission within a regional population. O…
Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks
Yen Ting Lin, Song Feng, William S. Hlavacek
Various kinetic Monte Carlo algorithms become inefficient when some of the population sizes in a system are large, which gives rise to a large number of reaction events per unit ti…
Prediction of Optimal Drug Schedules for Controlling Autophagy
Afroza Shirin, Isaac Klickstein, Song Feng +3
The effects of molecularly targeted drug perturbations on cellular activities and fates are difficult to predict using intuition alone because of the complex behaviors of cellular…