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2007 | OriginalPaper | Chapter
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes
Authors : Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Gerd Schmitz
Published in: Artificial Neural Networks – ICANN 2007
Publisher: Springer Berlin Heidelberg
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Exploratory matrix factorization methods like ICA and LNMF are applied to identify marker genes and classify gene expression data sets into different categories for diagnostic purposes or group genes into functional categories for further investigation of related regulatory pathways. Gene expression levels of either human breast cancer (HBC) cell lines [5] mediating bone metastasis or cell lines from Niemann Pick C patients monitoring monocyte - macrophage differentiation are considered.