Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets

Whole genome expression profiles are widely used to discover molecular subtypes of diseases. A remaining challenge is to identify the correspondence or commonality of subtypes found in multiple, independent data sets generated on various platforms. While model-based supervised learning is often used...

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Detalles Bibliográficos
Autores principales: Hoshida, Yujin, Brunet, Jean-Philippe, Tamayo, Pablo, Golub, Todd R., Mesirov, Jill P.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2065909/
https://www.ncbi.nlm.nih.gov/pubmed/18030330
http://dx.doi.org/10.1371/journal.pone.0001195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2065909/
https://www.ncbi.nlm.nih.gov/pubmed/18030330
http://dx.doi.org/10.1371/journal.pone.0001195

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