| MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis J Chong, O Soufan, C Li, I Caraus, S Li, G Bourque, DS Wishart, J Xia Nucleic acids research 46 (W1), W486-W494, 2018 | 1741 | 2018 |
| NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis G Zhou, O Soufan, J Ewald, REW Hancock, N Basu, J Xia Nucleic acids research 47 (W1), W234-W241, 2019 | 257 | 2019 |
| DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm O Soufan, D Kleftogiannis, P Kalnis, VB Bajic PLOS ONE, 2015 | 94 | 2015 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 87 | 2019 |
| DASPfind: new efficient method to predict drug–target interactions W Ba-Alawi, O Soufan, M Essack, P Kalnis, VB Bajic Journal of cheminformatics 8 (1), 1-9, 2016 | 57 | 2016 |
| miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology L Chang, G Zhou, O Soufan, J Xia Nucleic Acids Research 48 (W1), W244-W251, 2020 | 23 | 2020 |
| Mining chemical activity status from high-throughput screening assays O Soufan, W Ba-Alawi, M Afeef, M Essack, V Rodionov, P Kalnis, VB Bajic PloS one 10 (12), e0144426, 2015 | 19 | 2015 |
| DPubChem: a web tool for QSAR modeling and high-throughput virtual screening O Soufan, W Ba-Alawi, A Magana-Mora, M Essack, VB Bajic Scientific reports 8 (1), 1-10, 2018 | 17 | 2018 |
| DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning O Soufan, W Ba-Alawi, M Afeef, M Essack, P Kalnis, VB Bajic Journal of cheminformatics 8 (1), 1-14, 2016 | 13 | 2016 |
| DANNP: an efficient artificial neural network pruning tool M Alshahrani, O Soufan, A Magana-Mora, VB Bajic PeerJ Computer Science 3, e137, 2017 | 10 | 2017 |
| Transcriptome and physiological analysis reveal alterations in muscle metabolisms and immune responses of grass carp (Ctenopharyngodon idellus) cultured at different stocking … H Zhao, O Soufan, J Xia, R Tang, L Li, D Li Aquaculture 503, 186-197, 2019 | 9 | 2019 |
| Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions M Alazmi, H Kuwahara, O Soufan, L Ding, X Gao Bioinformatics 35 (15), 2634-2643, 2019 | 4 | 2019 |
| Arrhythmia Detection using Mutual Information-Based Integration Method O Soufan, S Arafat World Conf. Soft Computing, 2011 | 4* | 2011 |
| T1000: a reduced gene set prioritized for toxicogenomic studies O Soufan, J Ewald, C Viau, D Crump, M Hecker, N Basu, J Xia PeerJ 7, e7975, 2019 | 3 | 2019 |
| Computational intelligence for cardiac arrhythmia classification SA Bellegdi, S Mohandes, OM Soufan, S Arafat Proceedings of the 11th UK Workshop on Computational Intelligence, 2011 | 3 | 2011 |
| EcoToxModules: Custom Gene Sets to Organize and Analyze Toxicogenomics Data from Ecological Species JD Ewald, O Soufan, D Crump, M Hecker, J Xia, N Basu Environmental science & technology 54 (7), 4376-4387, 2020 | 2 | 2020 |
| Arrhythmia Detection using Mutual Information-Based Integration» OM Soufan, S Arafat WConSC 2011 conference, At San Francisco, CA 94132, 2011 | 2 | 2011 |
| Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds O Soufan | 1 | 2016 |
| An Empirical Study of Wrappers for Feature Subset Selection based on a Parallel Genetic Algorithm: The Multi-Wrapper Model O Soufan King Abdullah University of Science and Technology, 2012 | 1 | 2012 |
| FastBMD: an online tool for rapid benchmark dose–response analysis of transcriptomics data J Ewald, O Soufan, J Xia, N Basu Bioinformatics, 2020 | | 2020 |
Jianguo (Jeff) XiaAssociate Professor, McGill UniversityVerified email at mcgill.ca
