A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks. - Nam D. Nguyen; Ian Blaby; Daifeng Wang (BCB, 2018)

Multiview learning for understanding functional multiomics. - Nam D. Nguyen; Daifeng Wang (PLoS Comput. Biol., 2020)

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. - Ting Jin; Nam D. Nguyen; Flaminia Talos; Daifeng Wang (Bioinform., 2021)

Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes. - Nam D. Nguyen; Ting Jin; Daifeng Wang (Bioinform., 2021)

Reliability improvement of satellite-based quantum key distribution systems using retransmission scheme. - Nam D. Nguyen; Hang T. T. Phan; Hien T. T. Pham; Vuong V. Mai; Ngoc T. Dang (Photonic Netw. Commun., 2021)

A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data. - Nam D. Nguyen; Jiawei Huang; Daifeng Wang (Nat. Comput. Sci., 2022)