Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Onsager-Machlup approach to the most probable transition pathway for
  a genetic regulatory network   We investigate a quantitative network of gene expression dynamics describing
the competence development in Bacillus subtilis. First, we introduce an
Onsager-Machlup approach to quantify the most probable transition pathway for
both excitable and bistable dynamics. Then, we apply a machine learning method
to calculate the most probable transition pathway via the Euler-Lagrangian
equation. Finally, we analyze how the noise intensity affects the transition
phenomena.

30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
1
The categories of this paper are: cs
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph