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Optimal Decoding of Cellular Identities in a Genetic Network

Abstract : 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
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https://hal-pasteur.archives-ouvertes.fr/pasteur-03216294
Contributor : Thomas Gregor Connect in order to contact the contributor
Submitted on : Monday, May 3, 2021 - 9:33:45 PM
Last modification on : Thursday, April 7, 2022 - 10:10:30 AM
Long-term archiving on: : Wednesday, August 4, 2021 - 8:17:17 PM

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Mariela D Petkova, Gašper Tkačik, William Bialek, Eric F Wieschaus, Thomas Gregor. Optimal Decoding of Cellular Identities in a Genetic Network. Cell, Elsevier, 2019, 176 (4), pp.844 - 855.e15. ⟨10.1016/j.cell.2019.01.007⟩. ⟨pasteur-03216294⟩

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