Islam, M.T., Zhou, Z., Zou, J., Kapp, D., Liao, J. and and Xing, L.,“ Revealing hidden patterns in deep neural network feature space continuum via manifold learning”, 2023, in press, Nature Communications.
Islam, M.T. and Xing, L.,“Cartography of genomic interactions enables deep analysis of single-cell expression data”, 2023, Nature Communications, 14(1), p.679.
Islam, M.T. and Xing, L.,“Leveraging cell-cell interactions for high-performance spatial and temporal cellular mappings from gene expression data”, 2023, Patterns, Cell Press, p.100840.
Islam, M.T., Wang, J., Ren, H., Li, X., Khuzani, M., Yu, L., Shen, L., Zhao, W., and Xing, L.,“ Leveraging data-driven self-consistency for high-fidelity gene expression recovery”, 2022, Nature Communications, 13(1), pp.7142.
Islam, M.T. and Xing, L.,“A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data”, 2021, Nature Biomedical Engineering, 5(6), pp.624-635.
Liu, J., Islam, M.T., Sang, S., Qiu, L., and Xing, L., “Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors”, 2023, npj Precision Oncology, 7 (1), pp.117.
Sang, S., Zhou, Y., Islam, M.T. and Xing, L.,“Small-object sensitive segmentation using across feature map attention”, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (5), pp.6289-6306.