| An efficient framework to identify key miRNA–mRNA regulatory modules in cancer M Mokhtaridoost, M Gönen Bioinformatics 36 (Supplement_2), i592-i600, 2020 | 10 | 2020 |
| Identifying key miRNA–mRNA regulatory modules in cancer using sparse multivariate factor regression M Mokhtaridoost, M Gönen Proceedings of the 6th International Conference on Machine Learning …, 2020 | 5 | 2020 |
| Systematic characterization of regulatory variants of blood pressure genes W Oliveros, K Delfosse, DF Lato, K Kiriakopulos, M Mokhtaridoost, A Said, ... Cell Genomics 3 (7), 2023 | 3 | 2023 |
| Identifying Tissue-and Cohort-Specific RNA Regulatory Modules in Cancer Cells Using Multitask Learning M Mokhtaridoost, PG Maass, M Gönen Cancers 14 (19), 4939, 2022 | | 2022 |
| A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages M Soleimanpoor, M Mokhtaridoost, M Gönen Proceedings of the 8th International Conference on Machine Learning …, 2022 | | 2022 |
| Optimization Models to Identify Key RNA Regulatory Modules in Cancer M Mokhtaridoost Koç University, 2021 | | 2021 |
| Provide a location-allocation model for the construction of passenger ports in Mazandaran province using robust optimization approach and scenario building M Mokhtaridoost Sharif University of Technology, 2015 | | 2015 |
Mehmet GönenProfessor of Industrial Engineering and Computational Biology, Koç UniversityVerified email at ku.edu.tr
