Dang Hung Tran

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 7

Top Topics

Dimensionality Reduction

Kernel Learning

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

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)
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)
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) (2020)
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)
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)
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)
Thanh Trung Giang, Thanh-Phuong Nguyen, Dang Hung Tran
Stratifying cancer patients based on multiple kernel learning and dimensionality reduction. KSE (2017)
Xuan Tho Dang, Dang Hung Tran, Osamu Hirose, Kenji Satou
SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data. KSE (2015)
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)
The Dung Luong, Dang Hung Tran
Erratum: Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model. KSE (2) (2013)
The Dung Luong, Dang Hung Tran
Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model. KSE (2) (2013)
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)
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. (3) (2011)
Dang Hung Tran, Kenji Satou, Tu Bao Ho
Finding microRNA regulatory modules in human genome using rule induction. BMC Bioinform. 9 (S-12) (2008)
Tho Hoan Pham, Tu Bao Ho, Dang Hung Tran, Kenji Satou
Prediction of Histone Modifications in DNA sequences. BIBE (2007)
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)