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Journal Articles
- 2020
[j3]Thanh Trung Giang, Thanh-Phuong Nguyen
, Dang Hung Tran:
Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer's disease and cancers. BMC Medical Informatics Decis. Mak. 20(1): 108 (2020)- 2011
- [j2]Dang Hung Tran, Tu Bao Ho, Tho Hoan Pham, Kenji Satou:
MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples. IEICE Trans. Inf. Syst. 94-D(3): 416-422 (2011) - 2008
- [j1]Dang Hung Tran, Kenji Satou, Tu Bao Ho:
Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinform. 9(S-12) (2008)
Conference and Workshop Papers
- 2023
- [c13]Van Tinh Nguyen, Van Thien Nguyen, Thi Thanh Van Thai, Thi Thanh Hoa Duong, Dang Hung Tran:
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning. KSE 2023: 1-6 - 2021
- [c12]Van Tinh Nguyen, Dang Hung Tran:
An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation. KSE 2021: 1-6 - 2020
- [c11]Van Tinh Nguyen, Thi Tu Kien Le, Dang Hung Tran:
A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations. KSE 2020: 287-293 - 2019
- [c10]Xuan Tho Dang, Duong Hung Bui, Thi Hong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran:
Prediction of Autism-Related Genes Using a New Clustering-Based Under-Sampling Method. KSE 2019: 1-6 - 2018
- [c9]Thanh Trung Giang, Thanh-Phuong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran:
fMKL-DR: A Fast Multiple Kernel Learning Framework with Dimensionality Reduction. IUKM 2018: 153-165 - 2017
- [c8]Thanh Trung Giang, Thanh-Phuong Nguyen, Dang Hung Tran:
Stratifying cancer patients based on multiple kernel learning and dimensionality reduction. KSE 2017: 106-111 - 2015
- [c7]Xuan Tho Dang, Dang Hung Tran, Osamu Hirose, Kenji Satou:
SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data. KSE 2015: 280-285 - 2013
- [c6]Dang Hung Tran, Thanh-Phuong Nguyen, Laura Caberlotto, Corrado Priami:
Inference of Autism-Related Genes by Integrating Protein-Protein Interactions and miRNA-Target Interactions. KSE (1) 2013: 299-311 - [c5]The Dung Luong, Dang Hung Tran:
Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model. KSE (2) 2013: 319-335 - [c4]The Dung Luong, Dang Hung Tran:
Erratum: Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model. KSE (2) 2013: 445 - 2012
- [c3]Tho Hoan Pham, Tu Bao Ho, Quynh Diep Nguyen, Dang Hung Tran, Van Hoang Nguyen:
Multivariate Mutual Information Measures for Discovering Biological Networks. RIVF 2012: 1-6 - 2007
- [c2]Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou:
Prediction of Histone Modifications in DNA sequences. BIBE 2007: 959-966 - 2006
- [c1]Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho:
Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences. EvoWorkshops 2006: 221-230
Editorship
- 2018
- [e3]Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings. Lecture Notes in Computer Science 10758, Springer 2018, ISBN 978-3-319-75428-4 [contents] - 2014
- [e2]Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham:
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference, KSE 2013, Volume 1, Hanoi, Vietnam, 17-19 October, 2013. Advances in Intelligent Systems and Computing 244, Springer 2014, ISBN 978-3-319-02740-1 [contents] - [e1]Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham:
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference KSE 2013, Volume 2. Advances in Intelligent Systems and Computing 245, Springer 2014, ISBN 978-3-319-02820-0 [contents]
Coauthor Index
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