Clairvoyance: A multi-omics bacterial predictor
Clairvoyance is a multi-scale, data-driven system that uses machine learning techniques (artificial neural networks, support vector and constrained regression, optimization solvers) to predict genome-scale gene expression, protein expression and metabolic concentrations, given a specific environmental and genetic background. Specify your strain, genetic perturbations (gene over-expression, knockout), your environment (media, chemicals, stress, other abiotic factors), and Clairvoyance will provide a estimate of growth dynamics and expression levels. Currently only E. coli (Ecomics database) is supported.
- Clairvoyance will be accessible after publication