Author
Johns Hopkins UniversityORCID 0000-0003-3429-3174Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Pau Badia-i-Mompel, Roger Casals-Franch, Lorna Wessels…·Julio Sáez-Rodríguez
The paper benchmarks methods for inferring gene regulatory networks from multimodal single-cell data and introduces a framework called GRETA to evaluate their performance and limitations.
Eric M. Kernfeld, Yunxiao Yang, Joshua S. Weinstock…·Patrick Cahan
This study benchmarks expression forecasting methods using 11 perturbation datasets, finding that simple baselines often outperform complex models using mean squared error.
Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao…·Rachel Karchin
The paper introduces BigMHC, a deep learning model that predicts MHC-I epitopes and immunogenic neoepitopes with high accuracy, outperforming existing methods.