Mithat Gönen

FLORAL improves microbial feature selection for microbiome data by addressing survival endpoints, longitudinal samples, and sequencing biases, showing better false-positive control and sensitivity in simulations and real data.

This paper uses optical spectroscopy and machine learning to rapidly identify malignant tissue in cancer biopsies, achieving high sensitivity and specificity.