Network methods for describing sample relationships in genomic datasets: application to Huntingtons disease
Genomic datasets generated by new technologies are increasingly prevalent in disparate areas of biological research. While many studies have sought to characterize relationships among genomic features, commensurate efforts to characterize relationships among biological samples have been less common. Consequently, the full extent of sample variation in genomic studies is often under-appreciated, complicating downstream analytical tasks such as gene co-expression network analysis.
huntingtons disease sample networks sample network analysis clustering coefficient cor(k c) standardized c(k) curve data pre-processing microarrays gene expression