| plotly/dash-cytoscape |
555 |
|
0 |
2 |
about 2 years ago |
9 |
May 25, 2021 |
72 |
mit |
Python |
| Interactive network visualization in Python and Dash, powered by Cytoscape.js |
| neuhausi/canvasXpress |
282 |
|
0 |
4 |
about 2 years ago |
43 |
November 08, 2023 |
7 |
|
R |
| CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities. |
| pybel/pybel |
89 |
|
4 |
52 |
about 4 years ago |
91 |
February 11, 2022 |
30 |
mit |
Python |
| 🌶️ An ecosystem in Python for working with the Biological Expression Language (BEL) |
| vanheeringen-lab/ANANSE |
72 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
mit |
Python |
| Prediction of key transcription factors in cell fate determination using enhancer networks. See full ANANSE documentation for detailed installation instructions and usage examples. |
| related-sciences/nxontology |
59 |
|
0 |
2 |
almost 3 years ago |
15 |
February 28, 2023 |
3 |
apache-2.0 |
Python |
| NetworkX-based Python library for representing ontologies |
| meringlab/FlashWeave.jl |
52 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
other |
Julia |
| Inference of microbial interaction networks from large-scale heterogeneous abundance data |
| baldassarreFe/graph-network-explainability |
51 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19) |
| AuReMe/metage2metabo |
42 |
|
0 |
0 |
about 2 years ago |
33 |
September 26, 2022 |
12 |
lgpl-3.0 |
Jupyter Notebook |
| From annotated genomes to metabolic screening in large scale microbiotas |
| telmomenezes/synthetic |
37 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Symbolic Generators for Complex Networks |
| baryshnikova-lab/safepy |
34 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| Python implementation of Spatial Analysis of Functional Enrichment (SAFE) |
