Mohamed Omar

sctrial: Participant-Level Differential Analysis for Longitudinal Single-Cell Experiments

sctrial provides participant-level differential analysis for longitudinal single-cell experiments, reducing pseudoreplication-driven signal inflation and improving reliability of biological interpretations.

Using Biological Constraints to Improve Prediction in Precision Oncology

The paper develops mechanistic classifiers using biological constraints to improve the robustness and interpretability of gene signatures in cancer prediction.

Multi-omics biomarkers aid prostate cancer prognostication

This study identifies multi-omics prognostic signatures for prostate cancer using transcriptomics and metabolomics data, showing their ability to stratify patients into distinct risk groups.

Large-scale differential gene expression analysis identifies genes associated with Bipolar Disorder in post-mortem brain

The paper identifies differentially expressed genes in post-mortem brain tissues of bipolar disorder patients and validates them across datasets, finding associations with calcium transport, inflammation, and DNA damage response.