Optimal Decoding of Cellular Identities in a Genetic Network
Résumé
Highlights d Optimal decoding of gene expression levels can be derived from first principles d Applied to Drosophila gap genes, it specifies individual cells with 1% precision d Decoder correctly predicts downstream events in wild-type and mutant embryos d Molecular logic of gap gene readout must implement nearly optimal computations