Dissection of Regulatory Networks that Are Altered in Disease via Differential Co-expression. - David Amar; Hershel Safer; Ron Shamir (PLoS Comput. Biol., 2013)

A hierarchical Bayesian model for flexible module discovery in three-way time-series data. - David Amar; Daniel Yekutieli; Adi Maron-Katz; Talma Hendler; Ron Shamir (Bioinform., 2015)

Novel methods for integrative analysis of heterogeneous large scale biomedical data - David Amar (2015)

A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. - Shiran Abadi; Winston X. Yan; David Amar; Itay Mayrose (PLoS Comput. Biol., 2017)

Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate. - David Amar; Ron Shamir; Daniel Yekutieli (PLoS Comput. Biol., 2017)

ADEPTUS: a discovery tool for disease prediction, enrichment and network analysis based on profiles from many diseases. - David Amar; Amir Vizel; Carmit Levy; Ron Shamir (Bioinform., 2018)

Incentive-Based Ledger Protocols for Solving Machine Learning Tasks and Optimization Problems via Competitions. - David Amar; Lior Zilpa (CVPR Workshops, 2019)

Incentive-based integration of useful work into blockchains. - David Amar; Lior Zilpa (CoRR, 2019)

Causal considerations can deterimine the utility of machine learning assisted GWAS. - Sumit Mukherjee; Zachary R. McCaw; David Amar; Rounak Dey; Thomas W. Soare; Hari Somineni; Nicholas Eriksson; Colm O'Dushlaine (CHIL, 2025)