Mapping gene expression dynamics to developmental phenotypes with information entropy analysis
Ben Ansbacher, Malachy Guzman, Jordi Garcia-Ojalvo, Arjendu K. Pattanayak · 2026
Read Mapping gene expression dynamics to developmental phenotypes with information entropy analysis by Ben Ansbacher, Malachy Guzman, Jordi Garcia-Ojalvo, Arjendu K. Pattanayak (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13500645.txt.
Description
Ben Ansbacher and others use information theory to connect gene levels shifts with growth stages in fruit flies. In 2026, the study applies entropy and tangle tests to public gene readouts data from whole Drosophila embryos across growth. It tests whether tiny gene action maps onto large form through a stats lens. Growth links time-tied reactions to likely body shape.
A measure called shuffle entropy of indexed groups tracked growth stages strongly and showed signs of one-way flow in gene readout tangle. The authors present this as a test case for linking marker numbers to growth shifts, hinting that information tangle can reveal how embryos are guided by chance through next body-form stages.
Catalog record
| CREATOR | Ben Ansbacher, Malachy Guzman, Jordi Garcia-Ojalvo, Arjendu K. Pattanayak |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |