Tung Dang, Artem Lysenko, Keith A Boroevich, and Tatsuhiko Tsunoda. (2025).
VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data
Briefings in Bioinformatics, 26(4), bbaf300. 2025 Impact Factor: 8.7 (2 out of 67 in Mathematical & Computational Biology (Clarivate))
Press Release (English): https://www.u-tokyo.ac.jp/focus/en/press/z0508_00417.html
Press Release (Japanese): https://www.s.u-tokyo.ac.jp/ja/press/10840/
I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data.
Briefings in Bioinformatics, 26(3), bbaf132. 2025 Impact Factor: 8.7 (2 out of 67 in Mathematical & Computational Biology (Clarivate))
Press Release: https://www.a.u-tokyo.ac.jp/topics/topics_20250530-1.html
Tung Dang, Alan S. R. Fermin, and Maro G. Machizawa. (2023).
Frontiers in Neuroinformatics. 17:1266713.
Tung Dang and Hirohisa Kishino. (2022).
Journal of Cancer Science and Clinical Therapeutics 6: 87-105.
Tung Dang and Hirohisa Kishino. (2019).
Stochastic variational inference for Bayesian phylogenetics: A case of CAT model.
Molecular Biology and Evolution. 2019 Impact Factor: 14.797 (2 out of 49 in Evolutionary Biology (Clarivate))