New triangular matrix representations and matrix-norm distances for comparing rooted ranked unlabeled phylogenetic networks.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
A multimodal alignment framework derives morphology-aware image embeddings as continuous traits for Bayesian phylogenetic reconstruction, improving topological agreement on the Rove-Tree-11 dataset.
A new tree-conditioned edit-flow model for ancestral sequence reconstruction achieves reasonable accuracy on substitution-only evolved sequences and superior localization of changes on natural indel-rich sequences.
DPGR framework infers clade-level relative transmission fitness from GISAID influenza data and CNN models predict DPGR from full viral genomes with R² above 0.95.
citing papers explorer
-
Matrix representations and distance metrics for unlabeled ranked phylogenetic networks
New triangular matrix representations and matrix-norm distances for comparing rooted ranked unlabeled phylogenetic networks.
-
Morphology-Aware Multimodal Representation Learning for Insect Phylogenetic Reconstruction
A multimodal alignment framework derives morphology-aware image embeddings as continuous traits for Bayesian phylogenetic reconstruction, improving topological agreement on the Rove-Tree-11 dataset.
-
Tree-Conditioned Edit Flows for Ancestral Sequence Reconstruction
A new tree-conditioned edit-flow model for ancestral sequence reconstruction achieves reasonable accuracy on substitution-only evolved sequences and superior localization of changes on natural indel-rich sequences.
-
Inferring and Predicting Clade-Level Relative Transmission Fitness in Seasonal Influenza A Using Differential Population Growth Rate and Deep Learning
DPGR framework infers clade-level relative transmission fitness from GISAID influenza data and CNN models predict DPGR from full viral genomes with R² above 0.95.