A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data

Analysis of large-scale gene expression studies usually begins with gene clustering. A ubiquitous problem is that different algorithms applied to the same data inevitably give different results, and the differences are often substantial, involving a quarter or more of the genes analyzed. This raises...

Descripción completa

Detalles Bibliográficos
Autores principales: Hart, Christopher E., Sharenbroich, Lucas, Bornstein, Benjamin J., Trout, Diane, King, Brandon, Mjolsness, Eric, Wold, Barbara J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1092273/
https://www.ncbi.nlm.nih.gov/pubmed/15886390
http://dx.doi.org/10.1093/nar/gki536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1092273/
https://www.ncbi.nlm.nih.gov/pubmed/15886390
http://dx.doi.org/10.1093/nar/gki536

Ejemplares similares