Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Embeddings from Cancer Mutation Sets for Classification Tasks   Analysis of somatic mutation profiles from cancer patients is essential in
the development of cancer research. However, the low frequency of most
mutations and the varying rates of mutations across patients makes the data
extremely challenging to statistically analyze as well as difficult to use in
classification problems, for clustering, visualization or for learning useful
information. Thus, the creation of low dimensional representations of somatic
mutation profiles that hold useful information about the DNA of cancer cells
will facilitate the use of such data in applications that will progress
precision medicine. In this paper, we talk about the open problem of learning
from somatic mutations, and present Flatsomatic: a solution that utilizes
variational autoencoders (VAEs) to create latent representations of somatic
profiles. The work done in this paper shows great potential for this method,
with the VAE embeddings performing better than PCA for a clustering task, and
performing equally well to the raw high dimensional data for a classification
task. We believe the methods presented herein can be of great value in future
research and in bringing data-driven models into precision oncology.

25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc