CGHregions: Dimension Reduction for Array CGH Data with Minimal Information Loss

An algorithm to reduce multi-sample array CGH data from thousands of clones to tens or hundreds of clone regions is introduced. This reduction of the data is performed such that little information is lost, which is possible due to the high dependencies between neighboring clones. The algorithm is ex...

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Detalles Bibliográficos
Autores principales: van de Wiel, Mark A., van Wieringen, Wessel N.
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675846/
https://www.ncbi.nlm.nih.gov/pubmed/19455235

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