Eun Jeong Oh

This paper introduces a framework to improve survival prediction in spatial proteomics by incorporating spatially adjusted protein summaries into Cox models, showing better performance in simulations and applications to breast cancer data.

This study uses Super Learner ensemble modeling on CPTAC proteomic data to predict survival in HNSCC, finding that the ensemble method performs stably with high C-index values.