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We developed a computational framework, entitled Drug Nested Effects Models (DRUG-NEM), to analyze CyTOF single-drug perturbation data for the purpose of individualizing drug combinations.
To facilitate quantitative comparisons of electrostatics in protein families and to describe electrostatic contributions of individual amino acids, we previously developed a computational framework called AESOP.
Towards this end, we have developed a computational framework that accounts for coupled diffusion induced large deformation in silicon thin film, elasto-plastic deformation of the copper current collector, as well as the nucleation and propagation of interfacial delamination.
Toward this end, we have developed a computational framework that accounts for the coupled diffusion induced large deformation in silicon, elasto-plastic deformation of the current collector, as well as the nucleation and propagation of interfacial delamination.
To address this problem, we have developed a computational framework based on negative multistate design in which sequence energy is evaluated in the context of both native and non-native backbone ensembles.
We developed a computational framework to build disease-drug networks using drug- and disease-specific subnetworks.
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The goal of this work is to develop a computational framework to simulate a single jersey knit under ballistic loading.
In addition, he hopes to develop a computational framework that would make it possible to predict network compatibility between two organisms based only on their genomic sequences.
Here we develop a computational framework to address how the ankle joint actuation problem is resolved by the neuromuscular system in walking.
This paper develops a computational framework for optimizing the parameters of data assimilation systems in order to improve their performance.
This study develops a computational framework that integrates a flood simulation model, a response surface method, and an optimization technique for an optimal flood control design.
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