| A review on machine learning principles for multi-view biological data integration Y Li, FX Wu, A Ngom Briefings in bioinformatics 19 (2), 325-340, 2018 | 453 | 2018 |
| Enter the matrix: factorization uncovers knowledge from omics GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ... Trends in Genetics 34 (10), 790-805, 2018 | 216 | 2018 |
| The non-negative matrix factorization toolbox for biological data mining Y Li, A Ngom Source code for biology and medicine 8, 1-15, 2013 | 210 | 2013 |
| Genetic algorithm based scheduler for computational grids M Aggarwal, RD Kent, A Ngom 19th International Symposium on High Performance Computing Systems and …, 2005 | 112 | 2005 |
| A machine learning approach for identifying gene biomarkers guiding the treatment of breast cancer AA Tabl, A Alkhateeb, W ElMaraghy, L Rueda, A Ngom Frontiers in genetics 10, 256, 2019 | 97 | 2019 |
| A hybrid channel assignment approach using an efficient evolutionary strategy in wireless mobile networks G Vidyarthi, A Ngom, I Stojmenovic IEEE Transactions on Vehicular Technology 54 (5), 1887-1895, 2005 | 90 | 2005 |
| Sparse representation approaches for the classification of high-dimensional biological data Y Li, A Ngom BMC systems biology 7, 1-14, 2013 | 68 | 2013 |
| Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data Y Li, A Ngom 2010 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2010 | 57 | 2010 |
| Spot detection and image segmentation in DNA microarray data L Qin, L Rueda, A Ali, A Ngom Applied Bioinformatics 4, 1-11, 2005 | 56 | 2005 |
| Classification approach based on non-negative least squares Y Li, A Ngom Neurocomputing 118, 41-57, 2013 | 55 | 2013 |
| Nonnegative least-squares methods for the classification of high-dimensional biological data Y Li, A Ngom IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2013 | 43 | 2013 |
| STRIP-a strip-based neural-network growth algorithm for learning multiple-valued functions A Ngom, I Stojmenovic, V Milutinovic IEEE Transactions on Neural Networks 12 (2), 212-227, 2001 | 42 | 2001 |
| 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 | 40 | 2016 |
| A new kernel non-negative matrix factorization and its application in microarray data analysis Y Li, A Ngom 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2012 | 38 | 2012 |
| Multiple gene expression profile alignment for microarray time-series data clustering N Subhani, L Rueda, A Ngom, CJ Burden Bioinformatics 26 (18), 2281-2288, 2010 | 35 | 2010 |
| The max-min high-order dynamic Bayesian network for learning gene regulatory networks with time-delayed regulations Y Li, H Chen, J Zheng, A Ngom IEEE/ACM transactions on computational biology and bioinformatics 13 (4 …, 2015 | 34 | 2015 |
| A novel approach to identify subtype-specific network biomarkers of breast cancer survivability S Jubair, A Alkhateeb, AA Tabl, L Rueda, A Ngom Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-12, 2020 | 32 | 2020 |
| Data integration in machine learning Y Li, A Ngom 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 30 | 2015 |
| Facile whole mitochondrial genome resequencing from nipple aspirate fluid using MitoChip v2. 0 JP Jakupciak, A Maggrah, S Maragh, J Maki, B Reguly, K Maki, R Wittock, ... BMC cancer 8, 1-8, 2008 | 30 | 2008 |
| A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data W Yang, L Rueda, A Ngom XXV International Conference of the Chilean Computer Science Society (SCCC …, 2005 | 26 | 2005 |
