2 citations · 5 across the 5 of their papers we have counts for
6 papers
Minimizing Uncertainty in Prevalence Estimates
Paul Patrone, Anthony Kearsley
Estimating prevalence, the fraction of a population with a certain medical condition, is fundamental to epidemiology. Traditional methods rely on classification of test samples tak…
Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays
Paul N. Patrone, Prajakta Bedekar, Nora Pisanic +4
In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing…
Predicting Kovats Retention Indices Using Graph Neural Networks
Chen Qu, Barry I. Schneider, Anthony J. Kearsley +2
The \kovats retention index is a dimensionless quantity that characterizes the rate at which a compound is processed through a gas chromatography column. This quantity is independe…
Improving Baseline Subtraction for Increased Sensitivity of Quantitative PCR Measurements
Paul N. Patrone, Anthony J. Kearsley, Erica L. Romsos +1
Motivated by the current COVID-19 health-crisis, we examine the task of baseline subtraction for quantitative polymerase chain-reaction (qPCR) measurements. In particular, we prese…
The Role of Data Analysis in Uncertainty Quantification: Case Studies for Materials Modeling
Paul N. Patrone, Anthony J. Kearsley, Andrew M. Dienstfrey
In computational materials science, mechanical properties are typically extracted from simulations by means of analysis routines that seek to mimic their experimental counterparts.…
Diffusion-limited Reactions in Nanoscale Electronics
Ryan M. Evans, Arvind Balijepalli, Anthony J. Kearsley
A partial differential equation (PDE) was developed to describe time-dependent ligand-receptor interactions for applications in biosensing using field effect transistors (FET). The…