Chen Yanover
Chen Yanover
KI Research Institute
Verified email at - Homepage
Cited by
Cited by
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
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
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
Finding the M Most Probable Configurations Using Loopy Belief Propagation
C Yanover, Y Weiss
Advances in Neural Information Processing Systems 16, 289, 2004
Approximate inference and protein folding
C Yanover, Y Weiss
Advances in neural information processing systems 15, 1457-1464, 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
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
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
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
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
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
Identifying HLA supertypes by learning distance functions
T Hertz, C Yanover
Bioinformatics 23 (2), e148-e155, 2007
Dead‐end elimination for multistate protein design
C Yanover, M Fromer, JM Shifman
Journal of computational chemistry 28 (13), 2122-2129, 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
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
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
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
Benchmarking framework for performance-evaluation of causal inference analysis
Y Shimoni, C Yanover, E Karavani, Y Goldschmnidt
arXiv preprint arXiv:1802.05046, 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
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
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