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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |