Expression cartography of human tissues using self organizing maps

BACKGROUND: Parallel high-throughput microarray and sequencing experiments produce vast quantities of multidimensional data which must be arranged and analyzed in a concerted way. One approach to addressing this challenge is the machine learning technique known as self organizing maps (SOMs). SOMs e...

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Detalles Bibliográficos
Autores principales: Wirth, Henry, Löffler, Markus, von Bergen, Martin, Binder, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161046/
https://www.ncbi.nlm.nih.gov/pubmed/21794127
http://dx.doi.org/10.1186/1471-2105-12-306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161046/
https://www.ncbi.nlm.nih.gov/pubmed/21794127
http://dx.doi.org/10.1186/1471-2105-12-306

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