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Joerg Menche et al.
SCIENCE (2015)
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Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
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Principal component analysis
Herve Abdi et al.
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M. Oti et al.
JOURNAL OF MEDICAL GENETICS (2006)
Gene selection and classification of microarray data using random forest -: art. no. 3
R Díaz-Uriarte et al.
BMC BIOINFORMATICS (2006)
Molecular triangulation: Bridging linkage and molecular-network information for identifying candidate genes in Alzheimer's disease
M Krauthammer et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)
Independent component analysis:: algorithms and applications
A Hyvärinen et al.
NEURAL NETWORKS (2000)