| Exploiting genome variation to improve next-generation sequencing data analysis and genome editing efficiency in Populus tremula × alba 717-1B4 LJ Xue, MS Alabady, M Mohebbi, CJ Tsai Tree Genetics & Genomes 11, 1-8, 2015 | 53 | 2015 |
| RNAv: Non-coding RNA secondary structure variation search via graph Homomorphism Z Huang, MR MM, L Cai Proceedings of Computational Systems Bioinformatics; Stanford, 56-68, 2010 | 11 | 2010 |
| Accurate prediction of human miRNA targets via graph modeling of the miRNA-target duplex M Mohebbi, L Ding, RL Malmberg, C Momany, K Rasheed, L Cai Journal of Bioinformatics and Computational Biology 16 (04), 1850013, 2018 | 6 | 2018 |
| Accurate prediction of RNA nucleotide interactions with backbone k-tree model L Ding, X Xue, S LaMarca, M Mohebbi, A Samad, RL Malmberg, L Cai Bioinformatics 31 (16), 2660-2667, 2015 | 6 | 2015 |
| Human MicroRNA target prediction via multi-hypotheses learning M Mohebbi, L Ding, RL Malmberg, L Cai Journal of Computational Biology 28 (2), 117-132, 2021 | 4 | 2021 |
| Ab initio prediction of RNA nucleotide interactions with backbone k-tree model L Ding, X Xue, S LaMarca, M Mohebbi, A Samad, RL Malmberg, L Cai arXiv preprint arXiv:1407.7080, 2014 | 3 | 2014 |
| A multi-hypothesis learning algorithm for human and mouse miRNA target prediction M Mohebbi, L Ding, RL Malmberg, L Cai Computational Advances in Bio and Medical Sciences: 9th International …, 2020 | 1 | 2020 |
| Beyond Sequence: A Novel Image-Based Model for MicroRNA Target Prediction M Mohebbi, S Sesser, P Williams, M Wodtke, S Highton, S Shaik SoutheastCon 2024, 922-927, 2024 | | 2024 |
| Accurate prediction of human mirna targets via graph modeling and machine learning approaches. M Mohebbi University of Georgia, Athens, GA, USA, 2017 | | 2017 |
