This program, developed in Israel, can analyze data that contains up to 25,000 variables with an unlimited number of subjects observed. The program can find the rules even if some data is missing.
The company is looking for companies or non-profit organizations that have data sets that include the human genome and a disease.
Once the relations between the protein-coding gens and a certain disease will be revealed, the client and the partner will try to find a pharmaceutical company that will use it. The joint-venture / Technological cooperation partner would assist in the gathering of data for the database in order to allow the program to run.
The company has developed a machine learning algorithm that reveals if-and-only-if rules that explain the values of the dependent variable. One version of this algorithm analyzed data sets having up to 25,000 columns. This version is applicable for analyzing data sets of the human genome, where the program reveals the if-and-only-if rules that relate between protein-coding gens and certain diseases.