Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Informatics-based Approach to Identify Key Pharmacological Components
  in Drug-Drug Interactions   Drug-drug interactions (DDI) can cause severe adverse drug reactions and pose
a major challenge to medication therapy. Recently, informatics-based approaches
are emerging for DDI studies. In this paper, we aim to identify key
pharmacological components in DDI based on large-scale data from DrugBank, a
comprehensive DDI database. With pharmacological components as features,
logistic regression is used to perform DDI classification with a focus on
searching for most predictive features, a process of identifying key
pharmacological components. Using univariate feature selection with chi-squared
statistic as the ranking criteria, our study reveals that top 10% features can
achieve comparable classification performance compared to that using all
features. The top 10% features are identified to be key pharmacological
components. Furthermore, their importance is quantified by feature coefficients
in the classifier, which measures the DDI potential and provides a novel
perspective to evaluate pharmacological components.

25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int