Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Guideline for the Statistical Analysis of Compositional Data in
  Immunology   The study of immune cellular composition has been of great scientific
interest in immunology because of the generation of multiple large-scale data.
From the statistical point of view, such immune cellular data should be treated
as compositional. In compositional data, each element is positive, and all the
elements sum to a constant, which can be set to one in general. Standard
statistical methods are not directly applicable for the analysis of
compositional data because they do not appropriately handle correlations
between the compositional elements. In this paper, we review statistical
methods for compositional data analysis and illustrate them in the context of
immunology. Specifically, we focus on regression analyses using log-ratio
transformations and the generalized linear model with Dirichlet distribution,
discuss their theoretical foundations, and illustrate their applications with
immune cellular fraction data generated from colorectal cancer patients.

30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin