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BMC Bioinformatics|February 27, 2008
A mixture of feature experts approach for protein-protein interaction predictionYanjun Qi, Judith Klein-Seetharaman, Ziv Bar-JosephNano Letters|March 1, 2023
Electrically Driven Plasmons in Metal-Insulator-Semiconductor Tunnel Junctions: The Role of Silicon AmorphizationOmer Erez-Cohen, Olga Brontvein, Israel Bar-JosephPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 12, 2005
Random forest similarity for protein-protein interaction prediction from multiple sourcesYanjun Qi, Judith Klein-Seetharaman, Ziv Bar-JosephAnnals of Emergency Medicine|December 30, 1999
Response to repeated equal doses of epinephrine during cardiopulmonary resuscitation in dogsG Bar-Joseph, T Weinberger, S Ben-HaimBMC Systems Biology|August 25, 2011
Biological interaction networks are conserved at the module levelGuy E Zinman, Shan Zhong, Ziv Bar-JosephPlos Computational Biology|July 29, 2015
Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed NetworksSaket Navlakha, Alison L Barth, Ziv Bar-JosephJournal of the Royal Society, Interface|May 3, 2014
Topological properties of robust biological and computational networksSaket Navlakha, Xin He, Christos Faloutsos, et al.Biorxiv : the Preprint Server for Biology|January 23, 2024
Detecting m6A RNA modification from nanopore sequencing using a semi-supervised learning frameworkHaotian Teng, Marcus Stoiber, Ziv Bar-Joseph, et al.Nature Biotechnology|December 8, 2005
Combined static and dynamic analysis for determining the quality of time-series expression profilesItamar Simon, Zahava Siegfried, Jason Ernst, et al.European Journal of Pharmacology|January 10, 1998
Interaction of dexanabinol (HU-211), a novel NMDA receptor antagonist, with the dopaminergic systemS Striem, A Bar-Joseph, Y Berkovitch, et al.Pageof 35