ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 32

Blind Matrix Decomposition Techniques to Identify Marker Genes From Microarrays

Author(s): Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Juan Manuel Gorriz Saez, Carlos G. Puntonet


Exploratory matrix factorization methods like PCA, ICA and sparseNMF 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 [6] or the famous leucemia data set [10] are considered.

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