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International Journal of Molecular Sciences|October 16, 2025
Unsupervised Machine Learning Reveals Temporal Components of Gene Expression in HeLa Cells Following Release from Cell Cycle ArrestTom Maimon, Yaron Trink, Jacob Goldberger, et al.International Journal of Molecular Sciences|April 27, 2024
Characterization of Alternative Splicing in High-Risk Wilms' TumorsYaron Trink, Achia Urbach, Benjamin Dekel, et al.International Journal of Molecular Sciences|February 25, 2023
Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms' Tumors Using Unsupervised Machine LearningYaron Trink, Achia Urbach, Benjamin Dekel, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 12, 2006
Width of percolation transition in complex networksTomer Kalisky, Reuven CohenFrontiers in Oncology|March 26, 2015
Single cell transcriptomics: methods and applicationsItamar Kanter, Tomer KaliskyPhysical Biology|November 10, 2007
Cost-benefit theory and optimal design of gene regulation functionsTomer Kalisky, Erez Dekel, Uri AlonMethods in Molecular Biology (Clifton, N.J.)|February 19, 2021
Applications of Community Detection Algorithms to Large Biological DatasetsItamar Kanter, Gur Yaari, Tomer KaliskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 11, 2005
Volatility of linear and nonlinear time seriesTomer Kalisky, Yosef Ashkenazy, Shlomo HavlinBioinformatics (Oxford, England)|August 31, 2018
A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumorsItamar Kanter, Piero Dalerba, Tomer KaliskyPageof 7