Abstract
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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Schachtner, R., Lutter, D., Theis, F. J., Lang, E. W., Tomé, A. M., & Schmitz, G. (2007). Exploiting blind matrix decomposition techniques to identify diagnostic marker genes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4669 LNCS, pp. 80–89). Springer Verlag. https://doi.org/10.1007/978-3-540-74695-9_9
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