biomed-AI / GraphCSLinks
☆14Updated 4 years ago
Alternatives and similar repositories for GraphCS
Users that are interested in GraphCS are comparing it to the libraries listed below
Sorting:
- single-cell RNA-seq clustering☆10Updated 5 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 3 years ago
- Pathway-based sparse deep neural network☆19Updated 5 years ago
- ☆30Updated 4 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- single-cell graph autoencoder☆25Updated 4 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- ☆81Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 4 years ago
- ☆19Updated 4 years ago
- Deep Generative Modeling of RNA Velocity☆37Updated 3 months ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 3 years ago
- code repo for Set2Gaussian☆16Updated 5 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 4 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- Biological Network Integration using Convolutions☆63Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆43Updated last year
- ☆79Updated 3 weeks ago
- Cell clustering for spatial transcriptomics data with graph neural network☆64Updated 2 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 3 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆106Updated 2 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆18Updated 5 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- ☆20Updated 3 years ago
- ☆35Updated 3 years ago