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Nature Precedings, 2011

DOI: 10.1038/npre.2011.6666.1

BioMed Central, BioData Mining, 1(5), 2012

DOI: 10.1186/1756-0381-5-18

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Mining SOM expression portraits: Feature selection and integrating concepts of molecular function

Journal article published in 2011 by Henry Wirth, Martin von Bergen, Hans Binder
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Self organizing maps (SOM) enable the straightforward portraying of high-dimensional data of large sample collections in terms of sample-specific images. The analysis of their texture provides so-called spot-clusters of co-expressed genes which require subsequent significance filtering and functional interpretation. We address feature selection in terms of the gene ranking problem and the interpretation of the obtained spot-related lists using concepts of molecular function.