Research

Innovative goals

We propose a new approach to gene expression analysis. Instead of looking for specific genes, we quantify the changes in the proportions of constituents of the genetic network in order to develop models for diagnostic and prognosis of human pathologies.

Cancer and physical health

Predictive gene model based on specific set of stoichiometry signatures and data in open access (PGMSS).

Cancer and mental health

Predictive model of psychological well-being (related to happiness and self-realisation) based on gene stoichiometry signatures as a diagnostic tool for mental and physical health.

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