Beyza Kaya

GAT-HiC: Efficient Reconstruction of 3D Chromosome Structure via Residual Graph Attention Neural Networks

GAT-HiC predicts 3D chromosome structure from Hi-C data using graph attention networks, showing generalization across different datasets and outperforming existing methods.

Temporal Expression Prediction by Integrating Genome Dynamics via Spatio-temporal GNNs

The paper introduces spatio-temporal GNNs to predict mRNA and miRNA expression over time using Hi-C data, achieving high correlation and variance explanation.