
This research paper presents a method for simplifying complex directed acyclic graphs (DAGs), particularly those used in phylogenetic networks, by focusing on vertices that serve as unique least common ancestors (LCAs) for specific subsets of leaves.


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characterizing-and-simplifying-directed-acyclic-graphs-dags-using-the-concept-of-least-common-ancestors


Characterizing and Simplifying Directed Acyclic Graphs (DAGs) Using the Concept of Least Common Ancestors


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This research paper introduces a novel method for simplifying complex directed acyclic graphs (DAGs) and phylogenetic networks by focusing on least common ancestor (LCA) vertices, which represent ancestral states supported by observed data, thereby reducing complexity and enhancing the interpretability of evolutionary relationships.


simplifying-directed-acyclic-graphs-dags-and-phylogenetic-networks-by-focusing-on-least-common-ancestor-vertices


Simplifying Directed Acyclic Graphs (DAGs) and Phylogenetic Networks by Focusing on Least Common Ancestor Vertices
