Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-layer Trajectory Clustering: A Network Algorithm for Disease
  Subtyping   Many diseases display heterogeneity in clinical features and their
progression, indicative of the existence of disease subtypes. Extracting
patterns of disease variable progression for subtypes has tremendous
application in medicine, for example, in early prognosis and personalized
medical therapy. This work present a novel, data-driven, network-based
Trajectory Clustering (TC) algorithm for identifying Parkinson's subtypes based
on disease trajectory. Modeling patient-variable interactions as a bipartite
network, TC first extracts communities of co-expressing disease variables at
different stages of progression. Then, it identifies Parkinson's subtypes by
clustering similar patient trajectories that are characterized by severity of
disease variables through a multi-layer network. Determination of trajectory
similarity accounts for direct overlaps between trajectories as well as
second-order similarities, i.e., common overlap with a third set of
trajectories. This work clusters trajectories across two types of layers: (a)
temporal, and (b) ranges of independent outcome variable (representative of
disease severity), both of which yield four distinct subtypes. The former
subtypes exhibit differences in progression of disease domains (Cognitive,
Mental Health etc.), whereas the latter subtypes exhibit different degrees of
progression, i.e., some remain mild, whereas others show significant
deterioration after 5 years. The TC approach is validated through statistical
analyses and consistency of the identified subtypes with medical literature.
This generalizable and robust method can easily be extended to other
progressive multi-variate disease datasets, and can effectively assist in
targeted subtype-specific treatment in the field of personalized medicine.

7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph