Interpretable decoding of cell fate from a snapshot of combinatorial signaling
Abdul-Bassit Fijabi, Seth Teague, Emily Freeburne, Hina Aftab Khan, Craig N. Johnson, David B. Brückner, Idse Heemskerk
The paper shows that a single snapshot of combinatorial signaling can predict cell fate in human embryonic patterning using Sig2Fate, a method combining immunofluorescence, information theory, and machine learning.
bioRxiv · May 18, 2026 · PreprintDevelopmental Biology