Back to search

Article

From time-course expression to gene regulation: direct linear ODE inference without finite-difference approximation

2026-05-20

Abstract excerpt

Inferring gene regulation from time-course expression profiles is essential for understanding how cells transition between states during development, differentiation, and disease progression. Existing approaches often model expression dynamics with ordinary differential equations (ODEs). However, due to the computational complexity of directly solving these ODE models, most methods rely on finite-difference approx...

Topics

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

Identifiers and source

Literature Corpus work
07da4164-2045-5277-943b-3013f6997e6c
DOI
10.64898/2026.05.18.726023
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.
From time-course expression to gene regulation: direct linear ODE inference without finite-difference approximationDOI 10.64898/2026.05.18.726023
Select a neighboring publication to make it the new centre.