| Integrated proteogenomic characterization of human high-grade serous ovarian cancer H Zhang, T Liu, Z Zhang, SH Payne, B Zhang, JE McDermott, JY Zhou, ... Cell 166 (3), 755-765, 2016 | 886 | 2016 |
| Proteogenomic analysis of human colon cancer reveals new therapeutic opportunities S Vasaikar, C Huang, X Wang, VA Petyuk, SR Savage, B Wen, Y Dou, ... Cell 177 (4), 1035-1049. e19, 2019 | 560 | 2019 |
| The CPTAC data portal: a resource for cancer proteomics research NJ Edwards, M Oberti, RR Thangudu, S Cai, PB McGarvey, S Jacob, ... Journal of proteome research 14 (6), 2707-2713, 2015 | 346 | 2015 |
| Proteogenomic landscape of breast cancer tumorigenesis and targeted therapy K Krug, EJ Jaehnig, S Satpathy, L Blumenberg, A Karpova, M Anurag, ... Cell 183 (5), 1436-1456. e31, 2020 | 306 | 2020 |
| Integrated proteomic and glycoproteomic characterization of human high-grade serous ovarian carcinoma Y Hu, J Pan, P Shah, M Ao, SN Thomas, Y Liu, L Chen, M Schnaubelt, ... Cell reports 33 (3), 2020 | 94 | 2020 |
| Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries PB McGarvey, S Ladwa, M Oberti, AD Dragomir, EK Hedlund, ... Journal of the American Medical Informatics Association 19 (e1), e125-e128, 2012 | 12 | 2012 |
| Li-Fraumeni Exploration Consortium Data Coordinating Center: building an interactive web-based resource for collaborative international cancer epidemiology research for a rare … PL Mai, SR Sand, N Saha, M Oberti, T Dolafi, L DiGianni, EJ Root, X Kong, ... Cancer Epidemiology, Biomarkers & Prevention 29 (5), 927-935, 2020 | 10 | 2020 |
| cnnAlpha: protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks M Oberti, II Vaisman Proteins: Structure, Function, and Bioinformatics 88 (11), 1472-1481, 2020 | 6 | 2020 |
| Identification and prediction of intrinsically disordered regions in proteins using n-grams M Oberti, II Vaisman Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 3 | 2017 |
| regions [version 1; peer review: 1 not approved] M Oberti, I Vaisman | | 2019 |
| shiny-pred: a server for the prediction of protein disordered regions M Oberti, I Vaisman F1000Research 8 (230), 230, 2019 | | 2019 |
| Identification and Prediction of Intrinsically Disordered Regions in Proteins M Oberti George Mason University, 2019 | | 2019 |
