Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
Larger variation exists in epigenomes than in genomes, as a single genome shapes the identity of multiple cell types. With the advent of next-generation sequencing, one of the key problems in computational epigenomics is the poor understanding of correlations and quantitative differences between large scale data sets.
histone modifications chip-seq functional data analysis stem cells h1 roadmap epigenomics consortium h3k4me3 h3k36me3 h3k9ac h2a.z