Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structure learning of undirected graphical models for count data   Biological processes underlying the basic functions of a cell involve complex
interactions between genes. From a technical point of view, these interactions
can be represented through a graph where genes and their connections are,
respectively, nodes and edges. The main objective of this paper is to develop a
statistical framework for modelling the interactions between genes when the
activity of genes is measured on a discrete scale. In detail, we define a new
algorithm for learning the structure of undirected graphs, PC-LPGM, proving its
theoretical consistence in the limit of infinite observations. The proposed
algorithm shows promising results when applied to simulated data as well as to
real data.

5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con