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Mining SOM expression portraits: feature selection and integrating concepts of molecular function
BACKGROUND: 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 a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599960/ https://www.ncbi.nlm.nih.gov/pubmed/23043905 http://dx.doi.org/10.1186/1756-0381-5-18 |