Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantifying intrinsic and extrinsic noise in gene transcription using
  the linear noise approximation: An application to single cell data   A central challenge in computational modeling of dynamic biological systems
is parameter inference from experimental time course measurements. However, one
would not only like to infer kinetic parameters but also study their
variability from cell to cell. Here we focus on the case where single-cell
fluorescent protein imaging time series data are available for a population of
cells. Based on van Kampen's linear noise approximation, we derive a dynamic
state space model for molecular populations which is then extended to a
hierarchical model. This model has potential to address the sources of
variability relevant to single-cell data, namely, intrinsic noise due to the
stochastic nature of the birth and death processes involved in reactions and
extrinsic noise arising from the cell-to-cell variation of kinetic parameters.
In order to infer such a model from experimental data, one must also quantify
the measurement process where one has to allow for nonmeasurable molecular
species as well as measurement noise of unknown level and variance. The
availability of multiple single-cell time series data here provides a unique
testbed to fit such a model and quantify these different sources of variation
from experimental data.

32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th