Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Blind source separation methods for deconvolution of complex signals in
  cancer biology   Two blind source separation methods (Independent Component Analysis and
Non-negative Matrix Factorization), developed initially for signal processing
in engineering, found recently a number of applications in analysis of
large-scale data in molecular biology. In this short review, we present the
common idea behind these methods, describe ways of implementing and applying
them and point out to the advantages compared to more traditional statistical
approaches. We focus more specifically on the analysis of gene expression in
cancer. The review is finalized by listing available software implementations
for the methods described.

27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg