| Purely structural protein scoring functions using support vector machine and ensemble learning S Mirzaei, T Sidi, C Keasar, S Crivelli IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016 | 46 | 2016 |
| Methods for estimation of model accuracy in CASP12 A Elofsson, K Joo, C Keasar, J Lee, AHA Maghrabi, B Manavalan, ... Proteins: Structure, Function, and Bioinformatics 86, 361-373, 2018 | 34 | 2018 |
| An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 C Keasar, LJ McGuffin, B Wallner, G Chopra, B Adhikari, D Bhattacharya, ... Scientific reports 8 (1), 1-18, 2018 | 23 | 2018 |
| Redundancy-weighting the PDB for detailed secondary structure prediction using deep-learning models T Sidi, C Keasar Bioinformatics 36 (12), 3733-3738, 2020 | 11 | 2020 |
| Predicting gene sequences with AI to study evolutionarily selected codon usage patterns T Sidi, S Bahiri Elitzur, T Tuller, R Kolodny bioRxiv, 2024.02. 11.579798, 2024 | | 2024 |
| Redundancy-weighting the PDB for Detailed SSP with applications in EMA S Tomer, K Chen ISMB2020 COSI 3DSig, DOI: https://doi.org/10.7490/f1000research.1118258.1, 2020 | | 2020 |
| Loss-functions matter, on optimizing score functions for the estimation of protein models accuracy T Sidi, C Keasar bioRxiv, 651349, 2019 | | 2019 |
| Ensemble Learning Method for Structural Based Quality Assessment of Protein Decoys T Sidi Ben-Gurion University of the Negev, Faculty of Natural Sciences, Department …, 2016 | | 2016 |
Chen keasarBen-Gurion University of the NegevZweryfikowany adres z cs.bgu.ac.il
