MiRNA-TF-gene network analysis through ranking of biomolecules for multi-informative uterine leiomyoma dataset
We develop a biomolecule-ranking method using (statistical) eigenvector centrality. We apply the ranking method on a multi-informative uterine leiomyoma dataset. Our ranking method is better than other ranking methods for TF-miRNA-gene network. We provide some top potential gene-markers (PTGS2 and TACSTD2) for the uterine tumor.
tf-mirna-gene network gene-marker differentially expressed and differentially methylated genes limma statistical test eigenvector centrality based ranking of biomolecules