Louxin Zhang

The paper introduces phylogenetic parallelograms to visually compare multiple discordant phylogenetic trees and applies them to study introgression and organellar discordance.

The paper introduces new dissimilarity metrics for labeled DAGs by refining the k-Robinson-Foulds distance to compare local node-induced multisets of labels.

PhyloFusion merges rooted phylogenetic trees into networks, handling unresolved nodes and missing taxa, and is available in SplitsTree.

This study uses probabilistic Boolean networks to model brain connectivity in Alzheimer's disease, identifying five declining connections and a disruption from the Default Mode Network to the Medial Temporal Lobe.

DSA-DeepFM improves drug synergy prediction by integrating dual-stage attention with Factorization Machines, outperforming existing models and identifying novel synergistic combinations.

The paper introduces Bourque distances to compare mutation trees in cancer, addressing limitations of existing metrics like Robinson-Foulds distance.

The paper integrates multi-omic data to identify a prognostic subtype in lower-grade gliomas with genomic features similar to Grade IV gliomas.

This study systematically evaluates 17 drug response prediction methods across four datasets using nine metrics to provide insights for future research.