Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parameter inference method for stochastic single-cell dynamics from
  tree-structured data   With the advance of experimental techniques such as time-lapse fluorescence
microscopy, the availability of single-cell trajectory data has vastly
increased, and so has the demand for computational methods suitable for
parameter inference with this type of data. However, most of the currently
available methods treat single-cell trajectories independently, ignoring the
mother-daughter relationships and the information provided by population
structure. This information is however essential if a process of interest
happens at cell division, or if it evolves slowly compared to the duration of
the cell cycle. In this work, we highlight the importance of tracking cell
lineage trees and propose a Bayesian framework for parameter inference on
tree-structured data. Our method relies on a combination of Sequential Monte
Carlo for likelihood approximation and Markov Chain Monte Carlo for parameter
sampling. We demonstrate the capabilities of our inference framework on two
simple examples in which the lineage tree information is necessary: one in
which the cell phenotype can only switch at cell division and another where the
cell type fluctuates randomly over timescales that extend well beyond the
lifetime of a single cell.

14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas