Statistical relationships across epigenomes using large-scale hierarchical clustering
Anastasiia Kim, Nicholas Lubbers, Christina R. Steadman, and Karissa Y. SanbonmatsuBioinformatics Advances, 2025
ArXiv
In this study, we use ML to explore over 3,000 epigenomes and provide a comprehensive characterization of the relationships among epigenetic modifications, their modifiers, and specific immune cell types across all chromosomes. We find that in addition to the traditional perspective that epigenetic modifiers help regulate the expression of genes involved with cellular processes, they also function in a feedforward manner to regulate their own expression. We elaborate on the rationale behind analyzing baseline healthy data as a preparatory step for future infectious disease studies.