| Exosomal microRNA signatures in multiple sclerosis reflect disease status S Ebrahimkhani, F Vafaee, PE Young, SSJ Hur, S Hawke, E Devenney, ... Scientific reports 7 (1), 14293, 2017 | 230 | 2017 |
| Intratumoral heterogeneity identified at the epigenetic, genetic and transcriptional level in glioblastoma NR Parker, AL Hudson, P Khong, JF Parkinson, T Dwight, RJ Ikin, Y Zhu, ... Scientific reports 6 (1), 22477, 2016 | 173 | 2016 |
| In silico prediction of physical protein interactions and characterization of interactome orphans M Kotlyar, C Pastrello, F Pivetta, A Lo Sardo, C Cumbaa, H Li, T Naranian, ... Nature methods 12 (1), 79-84, 2015 | 173 | 2015 |
| Deep sequencing of circulating exosomal microRNA allows non-invasive glioblastoma diagnosis S Ebrahimkhani, F Vafaee, S Hallal, H Wei, MYT Lee, PE Young, ... NPJ precision oncology 2 (1), 28, 2018 | 152 | 2018 |
| Global redox proteome and phosphoproteome analysis reveals redox switch in Akt Z Su, JG Burchfield, P Yang, SJ Humphrey, G Yang, D Francis, S Yasmin, ... Nature communications 10 (1), 5486, 2019 | 85 | 2019 |
| Bayesian network hybrid learning using an elite-guided genetic algorithm C Contaldi, F Vafaee, PC Nelson Artificial Intelligence Review 52, 245-272, 2019 | 61 | 2019 |
| A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis F Vafaee, C Diakos, MB Kirschner, G Reid, MZ Michael, LG Horvath, ... NPJ systems biology and applications 4 (1), 20, 2018 | 55 | 2018 |
| In-network query processing in mobile P2P databases B Xu, F Vafaee, O Wolfson Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances …, 2009 | 49 | 2009 |
| Serum exosome microRNAs predict multiple sclerosis disease activity after fingolimod treatment S Ebrahimkhani, HN Beadnall, C Wang, CM Suter, MH Barnett, ... Molecular Neurobiology 57, 1245-1258, 2020 | 45 | 2020 |
| Plasma lipidome variation during the second half of the human lifespan is associated with age and sex but minimally with BMI MWK Wong, N Braidy, R Pickford, F Vafaee, J Crawford, J Muenchhoff, ... PloS one 14 (3), e0214141, 2019 | 45 | 2019 |
| Functional prediction of long non-coding RNAs in ovarian cancer-associated fibroblasts indicate a potential role in metastasis F Vafaee, EK Colvin, SC Mok, VM Howell, G Samimi Scientific reports 7 (1), 10374, 2017 | 35 | 2017 |
| Expression of long noncoding RNAs in cancer‐associated fibroblasts linked to patient survival in ovarian cancer EK Colvin, VM Howell, SC Mok, G Samimi, F Vafaee Cancer science 111 (5), 1805-1817, 2020 | 29 | 2020 |
| Unraveling the mechanistic complexity of Alzheimer's disease through systems biology JL Rollo, N Banihashemi, F Vafaee, JW Crawford, Z Kuncic, ... Alzheimer's & Dementia 12 (6), 708-718, 2016 | 29 | 2016 |
| CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes M Bayati, HR Rabiee, M Mehrbod, F Vafaee, D Ebrahimi, ARR Forrest, ... Scientific reports 10 (1), 1286, 2020 | 28 | 2020 |
| An explorative and exploitative mutation scheme F Vafaee, PC Nelson IEEE Congress on Evolutionary Computation, 1-8, 2010 | 25 | 2010 |
| A genetic algorithm that incorporates an adaptive mutation based on an evolutionary model F Vafaee, PC Nelson 2009 International Conference on Machine Learning and Applications, 101-107, 2009 | 24 | 2009 |
| Using multi-objective optimization to identify dynamical network biomarkers as early-warning signals of complex diseases F Vafaee Scientific reports 6 (1), 22023, 2016 | 22 | 2016 |
| Learning the structure of large-scale Bayesian networks using genetic algorithm F Vafaee Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014 | 22 | 2014 |
| Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm F Vafaee, G Turán, PC Nelson, TY Berger-Wolf 2014 IEEE Congress on Evolutionary Computation (CEC), 2570-2577, 2014 | 22 | 2014 |
| ORTI: an open-access repository of transcriptional interactions for interrogating mammalian gene expression data F Vafaee, JR Krycer, X Ma, T Burykin, DE James, Z Kuncic PloS one 11 (10), e0164535, 2016 | 20 | 2016 |
Igor JurisicaVerified email at ai.utoronto.ca
