- ciortanmadalina/graph|sc🔍
- graph|sc/models.py at master🔍
- GNN|based embedding for clustering scRNA|seq data🔍
- Clustering data with graph oriented techniques🔍
- ciortanmadalina🔍
- Madalina Ciortan🔍
- Unsupervised and Inherently Interpretable Graph Embeddings🔍
- Application of Deep Learning on Single|cell RNA Sequencing Data ...🔍
ciortanmadalina/graph|sc
ciortanmadalina/graph-sc - GitHub
We propose graph-sc, a method modeling scRNA-seq data as a graph, processed with a graph autoencoder network to create representations (embeddings) for each ...
graph-sc/models.py at master - GitHub
Contribute to ciortanmadalina/graph-sc development by creating an account on GitHub.
Avatar for ciortanmadalina from gravatar.com ciortanmadalina. Unverified details. These details have not been verified by PyPI. Meta. Author ...
GNN-based embedding for clustering scRNA-seq data - PubMed
Availability and implementation: https://github.com/ciortanmadalina/graph-sc. Supplementary information: Supplementary data are available at ...
Clustering data with graph oriented techniques | by Madalina Ciortan
Louvain algorithm for community detection. What are graph communities? A community is a group of nodes within a network that are more densely ...
GNN-based embedding for clustering scRNA-seq data
Availability and implementation: https://github.com/ciortanmadalina/graph-sc. Supplementary information: Supplementary data are available at ...
GNN-based embedding for clustering scRNA-seq data | Bioinformatics
... graph and used seamlessly under the same optimization task. Availability and implementation. https://github.com/ciortanmadalina/graph-sc.
Repos ; ciortanmadalina/EchoStateNetwork on Github, EchoStateNetwork, Jupyter Notebook, 25, 29,404 ; ciortanmadalina/graph-sc on Github, graph-sc, Jupyter ...
Overview of feature selection methods · Clustering data with graph oriented techniques · An introduction to frequent pattern mining research · Subspace clustering ...
GNN-based embedding for clustering scRNA-seq data | CoLab
https://github.com/ciortanmadalina/graph-sc. Supplementary information. Supplementary data are available at Bioinformatics online. References 26.
Unsupervised and Inherently Interpretable Graph Embeddings
... Graph Embeddings}, author = {Scafarto, Gregory and Ciortan, Madalina and Tihon, Simon and Ferre, Quentin}, booktitle = {Proceedings of the 15th Asian ...
Application of Deep Learning on Single-cell RNA Sequencing Data ...
Using variational graph attention autoencoder for dimensionality reduction, 2022, [80]. graph-sc, GAE, https://github.com/ciortanmadalina/graph-sc, Inputting ...
GNN-based embedding for clustering scRNA-seq data - OUCI
... graph and used seamlessly under the same optimization task.
Repos by ciortanmadalina - stardev
Repos by ciortanmadalina ; ciortanmadalina/EchoStateNetwork on Github, EchoStateNetwork, Jupyter Notebook, 25, 29,405 ; ciortanmadalina/graph-sc on Github, graph- ...
Multi-View Clustering With Graph Learning for scRNA-Seq Data
... graph and used seamlessly under the same optimization task. Availability and implementation: https://github.com/ciortanmadalina/graph-sc. Supplementary ...
Supplementary Materials scBiG representation learning of single ...
graph-sc. Dimensionality reduction. Python. ✓ https://github.com/ciortanmadalina/graph-sc. scGAE. Dimensionality reduction. Python. ✓ https://github.com ...
GNN-based embedding for clustering scRNA-seq data - FoxHunt ...
... graph and used seamlessly under the same optimization task. Availability and implementation https://github.com/ciortanmadalina/graph-sc. Supplementary ...
Contrastive self-supervised clustering of scRNA-seq data.
Ciortan, Madalina1 (AUTHOR) Defrance, Matthieu1 (AUTHOR) matthieu.dc ... contrastive-sc has been compared with ten state-of-the-art techniques. A ...
Unsupervised and Inherently Interpretable Graph Embeddings
... graph representation learning ... Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings. Scafarto, Gregory; ;; Ciortan, Madalina; ; ...
Application of Deep Learning on Single-cell RNA Sequencing Data ...
... graph-sc Inputting cell–gene graph into GAE for dimensionality reduction 2021. [81] contrastive-sc. DFNN https:// · github.com/ciortanmadalina/contrastive-sc.