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2010 – 2019
- 2019
[c1]David Amar, Lior Zilpa:
Incentive-Based Ledger Protocols for Solving Machine Learning Tasks and Optimization Problems via Competitions. CVPR Workshops 2019: 2838-2846- [i1]David Amar, Lior Zilpa:
Incentive-based integration of useful work into blockchains. CoRR abs/1901.03375 (2019) - 2018
- [j5]David Amar, Amir Vizel, Carmit Levy, Ron Shamir:
ADEPTUS: a discovery tool for disease prediction, enrichment and network analysis based on profiles from many diseases. Bioinform. 34(11): 1959-1961 (2018) - 2017
- [j4]David Amar, Ron Shamir
, Daniel Yekutieli:
Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate. PLoS Comput. Biol. 13(8) (2017) - [j3]Shiran Abadi, Winston X. Yan, David Amar, Itay Mayrose:
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. PLoS Comput. Biol. 13(10) (2017) - 2015
- [b1]David Amar:
Novel methods for integrative analysis of heterogeneous large scale biomedical data. Tel Aviv University, Israel, 2015 - [j2]David Amar, Daniel Yekutieli, Adi Maron-Katz, Talma Hendler, Ron Shamir:
A hierarchical Bayesian model for flexible module discovery in three-way time-series data. Bioinform. 31(12): 17-26 (2015) - 2013
- [j1]David Amar, Hershel Safer, Ron Shamir:
Dissection of Regulatory Networks that Are Altered in Disease via Differential Co-expression. PLoS Comput. Biol. 9(3) (2013)
Coauthor Index
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