Samir Rachid Zaim

This study investigates the molecular effects of RVd therapy on T cells using TEA-seq, revealing how individual and sequential drug administration impacts T cell function and states.

This study shows how multiple myeloma and its treatment alter the bone marrow niche, impairing immune reconstitution and vaccine responses, with mRNA vaccines showing better efficacy than influenza vaccines.

The paper creates a cell-type-specific IFN response atlas to distinguish IFN-I and IFN-II activities in human immune cells across diseases.

This study uses multi-omic profiling to analyze immune cell dynamics in healthy adults over time, finding age-related transcriptional changes in T cells and impaired memory B cell responses in older adults.

The paper identifies immune alterations preceding rheumatoid arthritis onset and provides tools for dataset exploration.

MOCHA improves scATAC-seq analysis by addressing technical and biological challenges, enabling better gene regulatory insights in human disease.

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.