A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression

BACKGROUND: Distance based unsupervised clustering of gene expression data is commonly used to identify heterogeneity in biologic samples. However, high noise levels in gene expression data and relatively high correlation between genes are often encountered, so traditional distances such as Euclidea...

Descripción completa

Detalles Bibliográficos
Autores principales: Yan, Xiting, Liang, Anqi, Gomez, Jose, Cohn, Lauren, Zhao, Hongyu, Chupp, Geoffrey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480187/
https://www.ncbi.nlm.nih.gov/pubmed/28637421
http://dx.doi.org/10.1186/s12859-017-1727-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480187/
https://www.ncbi.nlm.nih.gov/pubmed/28637421
http://dx.doi.org/10.1186/s12859-017-1727-4

Ejemplares similares