Huy Quang Pham
Huy Quang Pham
Dalat University
Verified email at dlu.edu.vn
Title
Cited by
Cited by
Year
Predicting outcomes of hormone and chemotherapy in the molecular taxonomy of breast cancer international consortium (METABRIC) study by biochemically-inspired machine learning
EJ Mucaki, K Baranova, HQ Pham, I Rezaeian, D Angelov, A Ngom, ...
F1000Research 5, 2016
232016
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies
AA Tabl, A Alkhateeb, HQ Pham, L Rueda, W ElMaraghy, A Ngom
Evolutionary Bioinformatics 14, 1176934318790266, 2018
132018
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
HQ Pham, L Rueda, A Ngom
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020
12020
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
HQ Pham, J Guba, M Gawanmeh, LA Porter, A Ngom
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
12019
NUCLEAR: An efficient methods for mining frequent itemsets and generators from closed frequent itemsets
HQ Pham, D Tran, NB Duong, P Fournier-Viger, A Ngom
INFORMATION TECHNOLOGY IN INDUSTRY 7 (2), 2019
12019
Outlier genes as biomarkers of breast cancer survivability in time-series data
N Mangalakumar, A Alkhateeb, HQ Pham, L Rueda, A Ngom
Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017
12017
Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches
HQ Pham, L Rueda, A Ngom
Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017
2017
the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning [version 3; referees: 2
EJ Mucaki, K Baranova, HQ Pham, I Rezaeian, D Angelov, A Ngom, ...
NUCLEAR: AN EFFICIENT METHOD FOR MINING FREQUENT ITEMSETS BASED ON KERNELS AND EXTENDABLE SETS
HQ Pham, D Tran, NB Duong, P Fournier-Viger, A Ngom
The system can't perform the operation now. Try again later.
Articles 1–9