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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wirth, Henry, von Bergen, Martin, Binder, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
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

Internet

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

Ejemplares similares