Colleen Kenost

The paper introduces Inter-N-of-1, a method to detect biomechanism differences in small cohorts by analyzing single-subject transcriptome data, showing high precision and recall in simulations and a clinical dataset.

binomialRF identifies biomarkers and their interactions using a scalable random forest approach with statistical hypothesis testing for feature selection.

The paper evaluates single-subject methods for differential gene expression analysis and finds ensemble methods perform best in identifying DEGs without replicates.

The paper introduces iDEG, a method to identify differentially expressed genes in a single subject without replicates, showing improved accuracy over existing methods in simulations.