Hamzah Syed

This paper screens epigenetic drugs to identify Type I PRMT inhibitors that inhibit lysosomal exocytosis and enhance chemotherapy efficacy in cancer.

The paper identifies BRPF1 as a key regulator of Taxol resistance in TNBC through genetic and chemical screens, showing its inhibition sensitizes resistant cells to chemotherapy.

This study identifies RBBP4 as a critical regulator of cell cycle progression in TMZ-resistant glioblastoma through CRISPR screens and functional analyses.

This paper compares ML methods for predicting T2D status from GWAS data using imbalanced learning techniques, finding that MLP with SMOTE achieves the highest accuracy.

The paper introduces rareSurvival, a software tool for analyzing rare variant associations with time-to-event outcomes, combining survival and gene-based methods.

MOPower is an R-shiny application that simulates multi-omics data and calculates power for association studies using various integration methods.