Article
A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression.
BMC bioinformatics - 20 Jun 2017
Yan Xiting, Liang Anqi, Gomez Jose, Cohn Lauren, Zhao Hongyu, Chupp Geoffrey L
Abstract excerpt
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 Euclidean distance may not be effective at discriminating the biological differences between samples. An alternative method...
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