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Patents Method and Apparatus for Quantum Clustering Method for discovering relationships in data by dynamic quantum clustering Method for discovering relationships in data by dynamic quantum clustering, USA Patent No. 9,646,074 Research Interests Lecture Class of May 27, 2014 on Machine Learning and Neural Computation QCWebtool Readme file webtool Recent Graduate Students and their Theses Alon Kafri, MSc Thesis Itay Fisher, MSc Thesis Lior Deutsch, MSc Thesis Guy Shaked MSc Thesis Uri Weingart PhD Thesis Assaf Gottlieb PhD Thesis Yaron Levy MSc Thesis Roy Varshavsky PhD Thesis Liat Segal MSc Thesis Yasmine Meroz MSc Thesis Vered Kunik MSc Thesis Zach Solan PhD Thesis Lab Video by Liat Segal, 2006 Software and Webtools COMPACT 2.0 - Comparative Package for Clustering Assessment COMPACT 2.2 - Updated version (2012) including SVC and new QC tools The ClusTree algorithm ADIOS and MEX algorithms Biclustering algorithm Data Mining of Enzymes (DME) DME webserver SPSR webserver: SP search on genomic short reads S61TSPSR webserver: Taxonomic information derived from metagenomic short reads DQC webserver: Dynamic Quantum Clustering (allows only one user at a time) Species Counting algorithm S61 SP hits on Putative Peptides GUI MATLAB package for the analysis of Compositionally Ordered Proteins Supplementary Material Supplement of 'Motif Extraction and Protein Classification' Supplementary Material of 'Compositionally Ordered Proteins..': Table S1-list of CO human proteins Supplementary Material of 'Compositionally Ordered Proteins..': GUI MATLAB package (rar file) Webtools and Supplementary Material from the adios web-server