| NetVisia: Heat map & matrix visualization of dynamic social network statistics & content R Gove, N Gramsky, R Kirby, E Sefer, A Sopan, C Dunne, B Shneiderman, ... 2011 IEEE third international conference on privacy, security, risk and …, 2011 | 44 | 2011 |
| Tradeoffs between dense and replicate sampling strategies for high-throughput time series experiments E Sefer, M Kleyman, Z Bar-Joseph Cell systems 3 (1), 35-42, 2016 | 37 | 2016 |
| Convex risk minimization to infer networks from probabilistic diffusion data at multiple scales E Sefer, C Kingsford 2015 IEEE 31st International Conference on Data Engineering, 663-674, 2015 | 34 | 2015 |
| Selecting the most appropriate time points to profile in high-throughput studies M Kleyman, E Sefer, T Nicola, C Espinoza, D Chhabra, JS Hagood, ... Elife 6, e18541, 2017 | 30 | 2017 |
| Diffusion archeology for diffusion progression history reconstruction E Sefer, C Kingsford Knowledge and information systems 49, 403-427, 2016 | 27 | 2016 |
| Parsimonious reconstruction of network evolution R Patro, E Sefer, J Malin, G Marçais, S Navlakha, C Kingsford Algorithms for Molecular Biology 7, 1-11, 2012 | 23 | 2012 |
| Semi-nonparametric modeling of topological domain formation from epigenetic data E Sefer, C Kingsford Algorithms for Molecular Biology 14, 1-11, 2019 | 21 | 2019 |
| Resolving spatial inconsistencies in chromosome conformation measurements G Duggal, R Patro, E Sefer, H Wang, D Filippova, S Khuller, C Kingsford Algorithms for Molecular Biology 8, 1-10, 2013 | 20 | 2013 |
| Deconvolution of ensemble chromatin interaction data reveals the latent mixing structures in cell subpopulations E Sefer, G Duggal, C Kingsford Journal of Computational Biology 23 (6), 425-438, 2016 | 19 | 2016 |
| A comparison of topologically associating domain callers over mammals at high resolution E Sefer BMC bioinformatics 23 (1), 127, 2022 | 16 | 2022 |
| Metric labeling and semi-metric embedding for protein annotation prediction E Sefer, C Kingsford International Conference on Research in Computational Molecular Biology, 392-407, 2011 | 14 | 2011 |
| The missing models: A data-driven approach for learning how networks grow R Patro, G Duggal, E Sefer, H Wang, D Filippova, C Kingsford Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 12 | 2012 |
| Parsimonious reconstruction of network evolution R Patro, E Sefer, J Malin, G Marçais, S Navlakha, C Kingsford Algorithms in Bioinformatics: 11th International Workshop, WABI 2011 …, 2011 | 8 | 2011 |
| BERT2OME: Prediction of 2'-O-methylation Modifications from RNA Sequence by Transformer Architecture Based on BERT NN Soylu, E Sefer IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | 5 | 2023 |
| Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape E Sefer Applied Network Science 6 (1), 54, 2021 | 5 | 2021 |
| Real-time a* search with depth-k lookahead E Sefer, U Kuter, D Nau Proceedings of the International Symposium on Combinatorial Search, 2009 | 4 | 2009 |
| Resolving spatial inconsistencies in chromosome conformation data G Duggal, R Patro, E Sefer, H Wang, D Filippova, S Khuller, C Kingsford Algorithms in Bioinformatics: 12th International Workshop, WABI 2012 …, 2012 | 3 | 2012 |
| NFT primary sale price and secondary sale prediction via deep learning B Seyhan, E Sefer Proceedings of the Fourth ACM International Conference on AI in Finance, 116-123, 2023 | 2 | 2023 |
| Asset price and direction prediction via deep 2D transformer and convolutional neural networks T Tuncer, U Kaya, E Sefer, O Alacam, T Hoser Proceedings of the Third ACM International Conference on AI in Finance, 79-86, 2022 | 2 | 2022 |
| ProbC: joint modeling of epigenome and transcriptome effects in 3D genome E Sefer BMC genomics 23 (1), 287, 2022 | 2 | 2022 |
