2 code implementations • 11 Nov 2020 • Peng Yu, Spencer S. Ericksen, Anthony Gitter, Michael A. Newton
An IBR method selects an informer set of compounds, and then prioritizes the remaining compounds on the basis of new bioactivity experiments performed with the informer set on the target.
Methodology
no code implementations • 7 Feb 2020 • Tun Lee Ng, Michael A. Newton
We establish statistical properties of random-weighting methods in LASSO regression under different regularization parameters $\lambda_n$ and suitable regularity conditions.
Methodology 62F12, 62F40, 62F15
no code implementations • 19 Dec 2013 • Nicholas C. Henderson, Michael A. Newton
We describe and evaluate a generic empirical Bayesian ranking procedure that populates the list of top units in a way that maximizes the expected overlap between the true and reported top lists for all list sizes.
Methodology
