Back to search

Article

Discovery of interpretable patterning rules by integrating mechanistic modeling and deep learning

2024-09-02

Abstract excerpt

Predictive programming of self-organized pattern formation using living cells is challenging in major part due to the difficulty in navigating through the high-dimensional design space effectively. The emergence and characteristics of patterns are highly sensitive to both system and environmental parameters. Often, the optimal conditions able to generate patterns represent a small fraction of the possible design s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
10bd5936-0de6-5826-9ba3-7bdbecb5f0bb
DOI
10.1101/2024.09.02.610872
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Discovery of interpretable patterning rules by integrating mechanistic modeling and deep learningDOI 10.1101/2024.09.02.610872
Select a neighboring publication to make it the new centre.