TY - JOUR
T1 - Blind source separation methods for deconvolution of complex signals in cancer biology
AU - Zinovyev, Andrei
AU - Kairov, Ulykbek
AU - Karpenyuk, Tatyana
AU - Ramanculov, Erlan
N1 - Funding Information:
This work is supported by the grant INCA LABEL Cancéropole Ile-de-France , by the grant INVADE from ITMO Cancer (Call Systems Biology 2012) and by the grant “Projet Incitatif et Collaboratif Computational Systems Biology Approach for Cancer” from Institut Curie. AZ is a member of the team “Computational Systems Biology of Cancer”, Equipe labellisée par la Ligue Nationale Contre le Cancer. UK is supported by the governmental grant of the Ministry of Education and Science of the Republic of Kazakhstan.
PY - 2013/1/18
Y1 - 2013/1/18
N2 - 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.
AB - 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.
KW - Cancer
KW - Data analysis
KW - Gene expression
KW - Independent component analysis
KW - Linear data approximation
KW - Non-negative matrix factorization
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U2 - 10.1016/j.bbrc.2012.12.043
DO - 10.1016/j.bbrc.2012.12.043
M3 - Short survey
C2 - 23261450
AN - SCOPUS:84872502291
VL - 430
SP - 1182
EP - 1187
JO - Biochemical and Biophysical Research Communications
JF - Biochemical and Biophysical Research Communications
SN - 0006-291X
IS - 3
ER -