| 2022 | CIBCB | DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification. | Alexandru Filip, Seyedeh Shaghayegh Sadeghi, Alioune Ngom, Luis Rueda |
| 2022 | CIBCB | DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding. | Seyedeh Shaghayegh Sadeghi, Alioune Ngom |
| 2018 | CIBCB | Drug target interaction predictions using PU- Leaming under different experimental setting for four formulations namely known drug target pair prediction, drug prediction, target prediction and unknown drug target pair prediction. | Hetal Rahul Rajpura, Alioune Ngom |
| 2018 | IJCNN | Identifying suutype specific network-Uiomarkers of breast cancer survivauility. | Sheikh Jubair, Luis Rueda, Alioune Ngom |
| 2015 | CIBCB | A novel approach for finding informative genes in ten subtypes of breast cancer. | Forough Firoozbakht, Iman Rezaeian, Alioune Ngom, Luis Rueda, Lisa A. Porter |
| 2015 | CIBCB | Prediction of high-throughput protein-protein interactions based on protein sequence information. | Yixun Li, Behzad Rezaei, Alioune Ngom, Luis Rueda |
| 2014 | IJCNN | A decomposition method for large-scale sparse coding in representation learning. | Yifeng Li, Richard J. Caron, Alioune Ngom |
| 2013 | CIBCB | The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data. | Yifeng Li, Alioune Ngom |
| 2012 | CIBCB | A new Kernel non-negative matrix factorization and its application in microarray data analysis. | Yifeng Li, Alioune Ngom |
| 2012 | ICDM | Fast Kernel Sparse Representation Approaches for Classification. | Yifeng Li, Alioune Ngom |
| 2012 | ICMLA | Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. | Yifeng Li, Alioune Ngom |
| 2011 | BIBE | A Novel Recursive Feature Subset Selection Algorithm. | Amirali Jafarian, Alioune Ngom, Luis Rueda |
| 2010 | CEC | Alignment versus variation methods for clustering microarray time-series data. | Numanul Subhani, Yifeng Li, Alioune Ngom, Luis Rueda |
| 2010 | CIBCB | Missing value imputation methods for gene-sample-time microarray data analysis. | Yifeng Li, Alioune Ngom, Luis Rueda |
| 2010 | CIBCB | New approaches to clustering microarray time-series data using multiple expression profile alignment. | Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden |
| 2010 | FlAIRS | A Surprise-Based Qualitative Probability Calculus II. | Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom |
| 2009 | ECSQARU | Surprise-Based Qualitative Probabilistic Networks. | Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom |
| 2009 | FlAIRS | A Surprise-based Qualitative Calculus. | Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom |
| 2008 | CEC | Non-unique oligonucleotide microarray probe selection method based on genetic algorithms. | Lili Wang, Alioune Ngom, Robin Gras |
| 2008 | CIBCB | Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem. | Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda |
| 2008 | SGAI | Qualitative Hidden Markov Models for Classifying Gene Expression Data. | Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom |
| 2007 | ECSQARU | A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. | Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom |
| 2006 | CEC | Protein Threading using Parallel Evolution Strategy. | Rafiqul Islam, Alioune Ngom |
| 2005 | AI | Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. | Leon French, Alioune Ngom, Luis Rueda |