Linear Programming Relaxations and Belief Propagation--An Empirical Study. C Yanover, T Meltzer, Y Weiss, KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (9), 2006 | 252 | 2006 |
MAP estimation, linear programming and belief propagation with convex free energies Y Weiss, C Yanover, T Meltzer The Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI 2007), 2007 | 187* | 2007 |
Globally optimal solutions for energy minimization in stereo vision using reweighted belief propagation T Meltzer, C Yanover, Y Weiss Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005 | 172 | 2005 |
Finding the M Most Probable Configurations Using Loopy Belief Propagation C Yanover, Y Weiss Advances in Neural Information Processing Systems 16, 289, 2004 | 151* | 2004 |
Approximate inference and protein folding C Yanover, Y Weiss Advances in neural information processing systems 15, 1457-1464, 2002 | 143 | 2002 |
Minimizing and learning energy functions for side-chain prediction C Yanover, O Schueler-Furman, Y Weiss Journal of Computational Biology 15 (7), 899-911, 2008 | 121 | 2008 |
Building better drugs: developing and regulating engineered therapeutic proteins C Kimchi-Sarfaty, T Schiller, N Hamasaki-Katagiri, MA Khan, C Yanover, ... Trends in pharmacological sciences 34 (10), 534-548, 2013 | 108 | 2013 |
Changes in vaginal community state types reflect major shifts in the microbiome JP Brooks, GA Buck, G Chen, L Diao, DJ Edwards, JM Fettweis, ... Microbial ecology in health and disease 28 (1), 1303265, 2017 | 97 | 2017 |
What Factors Increase the Risk of Complications in SARS-CoV-2–Infected Patients? A Cohort Study in a Nationwide Israeli Health Organization C Yanover, B Mizrahi, N Kalkstein, K Marcus, P Akiva, Y Barer, V Shalev, ... JMIR public health and surveillance 6 (3), e20872, 2020 | 76 | 2020 |
Endogenous factor VIII synthesis from the intron 22–inverted F8 locus may modulate the immunogenicity of replacement therapy for hemophilia A GS Pandey, C Yanover, LM Miller-Jenkins, S Garfield, SA Cole, JE Curran, ... Nature medicine 19 (10), 1318-1324, 2013 | 72* | 2013 |
Machine learning competition in immunology–Prediction of HLA class I binding peptides GL Zhang, HR Ansari, P Bradley, GC Cawley, T Hertz, X Hu, N Jojic, ... Journal of immunological methods 374 (1-2), 1-4, 2011 | 66 | 2011 |
Identifying HLA supertypes by learning distance functions T Hertz, C Yanover Bioinformatics 23 (2), e148-e155, 2007 | 63 | 2007 |
Dead‐end elimination for multistate protein design C Yanover, M Fromer, JM Shifman Journal of computational chemistry 28 (13), 2122-2129, 2007 | 56 | 2007 |
PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions T Hertz, C Yanover BMC bioinformatics 7, 1-15, 2006 | 53 | 2006 |
Large-scale characterization of peptide-MHC binding landscapes with structural simulations C Yanover, P Bradley Proceedings of the National Academy of Sciences 108 (17), 6981-6986, 2011 | 52 | 2011 |
Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ... EBioMedicine 9, 170-179, 2016 | 51* | 2016 |
Extensive protein and DNA backbone sampling improves structure-based specificity prediction for C2H2 zinc fingers C Yanover, P Bradley Nucleic acids research 39 (11), 4564-4576, 2011 | 51 | 2011 |
Benchmarking framework for performance-evaluation of causal inference analysis Y Shimoni, C Yanover, E Karavani, Y Goldschmnidt arXiv preprint arXiv:1802.05046, 2018 | 49 | 2018 |
Pharmacogenetics and the immunogenicity of protein therapeutics C Yanover, N Jain, G Pierce, TE Howard, ZE Sauna Nature Biotechnology 29 (10), 870-873, 2011 | 38 | 2011 |
Polymorphisms in the F8 Gene and MHC-II Variants as Risk Factors for the Development of Inhibitory Anti-Factor VIII Antibodies during the Treatment of Hemophilia … GS Pandey, C Yanover, TE Howard, ZE Sauna PLoS computational biology 9 (5), e1003066, 2013 | 37 | 2013 |