Directed-Hierarchical-Gene-Networks

Comparison of representation approaches for directed graph embeddings, especially with latent tree-like or hierarchical structure, for study of intra- and intercellular signaling.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
hpo		hpo
hyperbolic_methods		hyperbolic_methods
run		run
.gitignore		.gitignore
1.0_graph_statistics.ipynb		1.0_graph_statistics.ipynb
1.1_get_biological_graphs_with_splits.ipynb		1.1_get_biological_graphs_with_splits.ipynb
2.0_run_directed_scattering.ipynb		2.0_run_directed_scattering.ipynb
2.1_run_undirected_scattering.ipynb		2.1_run_undirected_scattering.ipynb
3.0_best_validation.ipynb		3.0_best_validation.ipynb
4.0_best_test.ipynb		4.0_best_test.ipynb
5.0_DSAE-Hyp_ablations.ipynb		5.0_DSAE-Hyp_ablations.ipynb
6.0_intracellular_and_intercellular_network_prediction.ipynb		6.0_intracellular_and_intercellular_network_prediction.ipynb
6.1_intracellular_and_intercellular_network_spatial_evaluation.ipynb		6.1_intracellular_and_intercellular_network_spatial_evaluation.ipynb
README.md		README.md
config.py		config.py
schematic.png		schematic.png
test.py		test.py
train.py		train.py

KrishnaswamyLab/Directed-Hierarchical-Gene-Networks

Folders and files

Latest commit

History

Repository files navigation

Directed-Hierarchical-Gene-Networks

About

Resources

Stars

Watchers

Forks

Languages