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Comparison of unsupervised and supervised gene selection methods

Herold, Daniela ; Lutter, D. ; Schachtner, R. ; Tome, A. M. ; Schmitz, G. ; Lang, E. W.



Abstract

Modern machine learning methods based on matrix decomposition techniques like Independent Component Analysis (ICA) provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory feature extraction techniques yield informative expression modes (ICA) which are considered indicative of underlying regulatory processes. Their most strongly ...

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