Sandra E. Safo

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

This study uses multiomic analysis to investigate metabolic interactions between colorectal cancer cells and hepatocytes in liver metastasis, revealing metabolic shifts and potential therapeutic targets.

This paper introduces a flexible multi-step hypothesis testing method using cluster-based permutation tests with LMEs and GLMEs to analyze human ECoG data, improving statistical power and accounting for random effects.