Selected recent work. See Google Scholar for the complete, up-to-date list.
2025
Yan R., Islam M.T., Xing L. Interpretable discovery of patterns in tabular data via spatially semantic topographic maps.Nature Biomedical Engineering 9, 471–482 (2025).doi ↗
2024
Yan R., Islam M.T., Xing L. Deep representation learning of protein–protein interaction networks for enhanced pattern discovery.Science Advances 10(51), eadq4324 (2024).doi ↗
2023
Islam M.T., Zhou Z., Ren H. et al. Revealing hidden patterns in deep neural network feature space continuum via manifold learning.Nature Communications 14, 8506 (2023).doi ↗
2023
Liu J., Islam M.T., Sang S. et al. Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors.npj Precision Oncology 7, 117 (2023).doi ↗
2023
Islam M.T., Xing L. Cartography of genomic interactions enables deep analysis of single-cell expression data.Nature Communications 14, 679 (2023).doi ↗
2022
Islam M.T., Wang J.Y., Ren H. et al. Leveraging data-driven self-consistency for high-fidelity gene expression recovery.Nature Communications 13, 7142 (2022).doi ↗