Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computational genomic algorithms for miRNA-based diagnosis of lung
  cancer: the potential of machine learning   The advent of large scale, high-throughput genomic screening has introduced a
wide range of tests for diagnostic purposes. Prominent among them are tests
using miRNA expression levels. Genomics and proteomics now provide expression
levels of hundreds of miRNAs at a time. However, for actual diagnostic tools to
become reality requires the simultaneous development of methods to interpret
the large amounts of miRNA expression data that can be generated from a single
patient sample. Because these data are in numeric form, quantitative methods
must be developed. Statistics such as p-values and log fold change give some
insight, but the diagnostic effectiveness of each miRNA test must first be
evaluated. Here, the author has developed a traditional, sensitivity- and
specificity-based algorithm, as well as a modern machine learning algorithm,
and evaluated their diagnostic potential for lung cancer against a publicly
available database. The findings suggest that the machine learning algorithm
achieves higher accuracy (97% for cancerous and 73% for normal samples), in
addition to providing confidence intervals that could provide valuable
diagnostic support. The machine learning algorithm also has significant
potential for expansion to more complex diagnoses of lung cancer sub-types, to
other cancers as well diseases beyond cancer. Both algorithms are available on
the Github repo: https://github.com/neerja-g/machine-learning-miRNA.

5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
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The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
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The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th