45 citations · 70 across the 6 of their papers we have counts for
6 papers
Genomics Data Analysis via Spectral Shape and Topology
Erik J. Amézquita, Farzana Nasrin, Kathleen M. Storey +1
Mapper, a topological algorithm, is frequently used as an exploratory tool to build a graphical representation of data. This representation can help to gain a better understanding…
Designing experimental conditions to use the Lotka-Volterra model to infer tumor cell line interaction types
Heyrim Cho, Allison L. Lewis, Kathleen M. Storey +1
The Lotka-Volterra model is widely used to model interactions between two species. Here, we generate synthetic data mimicking competitive, mutualistic and antagonistic interactions…
Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration
Allison L. Lewis, Kathleen M. Storey, Heyrim Cho +1
The use of mathematical models to make predictions about tumor growth and response to treatment has become increasingly more prevalent in the clinical setting. The level of complex…
Effective dose fractionation schemes of radiotherapy for prostate cancer
Jose Alvarez, Kathleen M. Storey, Pavitra Kannan +1
Radiation therapy has remained as one of the main cancer treatment modalities and a highly cost-effective single modality treatment of cancer care. Typical regimens for fractionate…
Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer
Heyrim Cho, Allison L. Lewis, Kathleen M. Storey
With new advancements in technology, it is now possible to collect data for a variety of different metrics describing tumor growth, including tumor volume, composition, and vascula…
Analyzing Collective Motion with Machine Learning and Topology
Dhananjay Bhaskar, Angelika Manhart, Jesse Milzman +4
We use topological data analysis and machine learning to study a seminal model of collective motion in biology [D'Orsogna et al., Phys. Rev. Lett. 96 (2006)]. This model describes…