Mina Shaigan

This study investigates the relationship between age-related epigenetic changes in DNA methylation, chromatin accessibility, and histone modifications across human aging using integrated WGBS and ATAC-seq data.

This study uses multimodal single-cell analysis to identify transcription factor networks involved in T-cell aging.

PILOT-GM-VAE analyzes single cell disease atlases to perform sample-level clustering, trajectory inference, and batch correction using Gaussian Mixture Variational Autoencoders with optimal transport.

PILOT uses optimal transport to analyze single-cell and pathomics data, detecting disease-associated samples and non-linear changes in cell populations and tissue structures.

RGT is a Python package for integrative analysis of regulatory genomics data, offering tools for peak calling, binding site prediction, and regulatory factor association.