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. 2011 May 28;5(Suppl 2):S3. doi: 10.1186/1753-6561-5-S2-S3

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Copyright ©2011 Ehler et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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plot of connectivity scores in increasing order for LE weights, LE cluster 22 We aim to further improve the biological specificity of cluster 22 derived from Laplacian Eigenmaps + k-means. To identify co-varying genes with high connectivity in the regulatory network of cluster 22, we measure connectivity by means of the weight matrix D in (2). The connectivity of Affymetrix probes within LE+KM cluster 22 are shown. The most highly connected genes in cluster 22 are Etv3, Zfp386, Kdm4c, Eea1, Fyttd1, which can be used as labels in Schroedinger Eigenmaps.