| DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction A Elbasir, B Moovarkumudalvan, K Kunji, PR Kolatkar, H Bensmail, R Mall Bioinformatics, 2018 | 52 | 2018 |
| Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure A Liu, M Walter, P Wright, A Bartosik, D Dolciami, A Elbasir, H Yang, ... Biology direct 16, 1-15, 2021 | 45 | 2021 |
| BCrystal: an interpretable sequence-based protein crystallization predictor A Elbasir, R Mall, K Kunji, R Rawi, Z Islam, GY Chuang, PR Kolatkar, ... Bioinformatics 36 (5), 1429-1438, 2020 | 35 | 2020 |
| A modeling framework for embedding-based predictions for compound–viral protein activity R Mall, A Elbasir, H Almeer, Z Islam, PR Kolatkar, S Chawla, E Ullah Bioinformatics 37 (17), 2544-2555, 2021 | 20* | 2021 |
| A deep learning approach reveals unexplored landscape of viral expression in cancer A Elbasir, Y Ye, DE Schäffer, X Hao, J Wickramasinghe, K Tsingas, ... Nature communications 14 (1), 785, 2023 | 16 | 2023 |
| Multi-omics and machine learning reveal context-specific gene regulatory activities of PML:: RARA in acute promyelocytic leukemia W Villiers, A Kelly, X He, J Kaufman-Cook, A Elbasir, H Bensmail, ... Nature communications 14 (1), 724, 2023 | 12 | 2023 |
| Computational methods summarizing mutational patterns in cancer: promise and limitations for clinical applications A Patterson, A Elbasir, B Tian, N Auslander Cancers 15 (7), 1958, 2023 | 2 | 2023 |
| Microbial gene expression analysis of healthy and cancerous esophagus uncovers bacterial biomarkers of clinical outcomes DE Schäffer, W Li, A Elbasir, DC Altieri, Q Long, N Auslander ISME communications 3 (1), 128, 2023 | 1 | 2023 |
| Systems and methods for identifying novel and divergent viruses in transcriptomes N Auslander, A Elbasir US Patent App. 18/392,646, 2024 | | 2024 |
| Modelling framework for embedding-based predictions for compound-viral protein activity S Chawla, E Ullah, R Mall, H Almeer, A Elbasir US Patent App. 17/804,408, 2022 | | 2022 |
| Machine Learning Approaches to Predict Protein Crystallization Propensities A Elbasir PQDT-Global, 2020 | | 2020 |
