| Finding microRNA regulatory modules in human genome using rule induction DH Tran, K Satou, TB Ho BMC bioinformatics 9, 1-10, 2008 | 104 | 2008 |
| Computational discovery of miR-TF regulatory modules in human genome DH Tran, K Satou, TB Ho, TH Pham Bioinformation 4 (8), 371, 2010 | 31 | 2010 |
| SPY: A novel resampling method for improving classification performance in imbalanced data XT Dang, DH Tran, O Hirose, K Satou 2015 seventh international conference on knowledge and systems engineering …, 2015 | 27 | 2015 |
| Qualitatively predicting acetylation and methylation areas in dna sequences TH Phaml, DH Tran, TB Ho, K Satou, G Valiente Genome Informatics 16 (2), 3-11, 2005 | 26 | 2005 |
| Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers TT Giang, TP Nguyen, DH Tran BMC medical informatics and decision making 20 (1), 108, 2020 | 24 | 2020 |
| Multivariate mutual information measures for discovering biological networks TH Pham, TB Ho, QD Nguyen, DH Tran 2012 IEEE RIVF International Conference on Computing & Communication …, 2012 | 14 | 2012 |
| Prediction of Histone Modifications in DNA sequences TH Pham, TB Ho, DH Tran, K Satou 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering …, 2007 | 12 | 2007 |
| Prediction of microRNA hairpins using one-class support vector machines DH Tran, TH Pham, K Satou, TB Ho 2008 2nd International Conference on Bioinformatics and Biomedical …, 2008 | 11 | 2008 |
| MicroRNA expression profiles for classification and analysis of tumor samples DH Tran, TB Ho, TH Pham, K Satou IEICE TRANSACTIONS on Information and Systems 94 (3), 416-422, 2011 | 10 | 2011 |
| Predicting miRNA–disease associations using improved random walk with restart and integrating multiple similarities VT Nguyen, TTK Le, K Than, DH Tran Scientific Reports 11 (1), 21071, 2021 | 8 | 2021 |
| Integrated Uncertainty in Knowledge Modelling and Decision Making VN Huynh, M Inuiguchi, DH Tran, T Denoeux Springer International Publishing, 2018 | 8 | 2018 |
| Conditional random fields for predicting and analyzing histone occupancy, acetylation and methylation areas in DNA sequences DH Tran, TH Pham, K Satou, TB Ho Applications of Evolutionary Computing: EvoWorkshops 2006: EvoBIO, EvoCOMNET …, 2006 | 8 | 2006 |
| Stratifying cancer patients based on multiple kernel learning and dimensionality reduction TT Giang, TP Nguyen, DH Tran 2017 9th International Conference on Knowledge and Systems Engineering (KSE …, 2017 | 5 | 2017 |
| A nucleosomal approach to inferring causal relationships of histone modifications NT Le, TB Ho, BH Ho, DH Tran BMC genomics 15, 1-10, 2014 | 5 | 2014 |
| Characterizing nucleosome dynamics from genomic and epigenetic information using rule induction learning NT Le, TB Ho, DH Tran BMC genomics 10, 1-9, 2009 | 5 | 2009 |
| A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations TTK Le, DH Tran 2020 12th International Conference on Knowledge and Systems Engineering (KSE …, 2020 | 4 | 2020 |
| Knowledge and Systems Engineering: Proceedings of the Fifth International Conference KSE 2013, Volume 1 VN Huynh, T Denoeux, DH Tran, AC Le, SB Pham Springer International Publishing, 2014 | 4 | 2014 |
| An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation DH Tran 2021 13th International Conference on Knowledge and Systems Engineering (KSE …, 2021 | 3 | 2021 |
| A combination model of robust principal component analysis and multiple kernel learning for cancer patient stratification TT Giang, TP Nguyen, QT Pham, DH Tran Soft Computing: Biomedical and Related Applications, 21-33, 2021 | 3 | 2021 |
| fMKL-DR: a fast multiple kernel learning framework with dimensionality reduction TT Giang, TP Nguyen, TQV Nguyen, DH Tran Integrated Uncertainty in Knowledge Modelling and Decision Making: 6th …, 2018 | 2 | 2018 |
Tu-Bao Ho, Bao Tu HoJapan Advanced Institute of Science and TechnologyVerified email at jaist.ac.jp
