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 to develop models for the diagnostic and prognosis of human pathologies.
Research
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.