Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Supervised clustering of high dimensional data using regularized mixture
  modeling   Identifying relationships between molecular variations and their clinical
presentations has been challenged by the heterogeneous causes of a disease. It
is imperative to unveil the relationship between the high dimensional molecular
manifestations and the clinical presentations, while taking into account the
possible heterogeneity of the study subjects. We proposed a novel supervised
clustering algorithm using penalized mixture regression model, called CSMR, to
deal with the challenges in studying the heterogeneous relationships between
high dimensional molecular features to a phenotype. The algorithm was adapted
from the classification expectation maximization algorithm, which offers a
novel supervised solution to the clustering problem, with substantial
improvement on both the computational efficiency and biological
interpretability. Experimental evaluation on simulated benchmark datasets
demonstrated that the CSMR can accurately identify the subspaces on which
subset of features are explanatory to the response variables, and it
outperformed the baseline methods. Application of CSMR on a drug sensitivity
dataset again demonstrated the superior performance of CSMR over the others,
where CSMR is powerful in recapitulating the distinct subgroups hidden in the
pool of cell lines with regards to their coping mechanisms to different drugs.
CSMR represents a big data analysis tool with the potential to resolve the
complexity of translating the clinical manifestations of the disease to the
real causes underpinning it. We believe that it will bring new understanding to
the molecular basis of a disease, and could be of special relevance in the
growing field of personalized medicine.

29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics