Clustering Genes by Using Different Types of Genomic Data and Self-Organizing Maps
The aim of the project was to identify biologically relevant novel gene clusters by using combined genomic data instead of using only gene expression data in isolation. The clustering algorithm based on self-organizing maps (Kasturi et al., 2005) was extended and implemented in order to use gene loc...
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Format: | Others |
Language: | English |
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Högskolan i Skövde, Institutionen för vård och natur
2008
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-2265 |