juexinwang / scGNN
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
☆140Updated 6 months ago
Alternatives and similar repositories for scGNN:
Users that are interested in scGNN are comparing it to the libraries listed below
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated last year
- ☆106Updated 11 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- scDeepCluster for Single Cell RNA-seq data☆99Updated 7 months ago
- Identify spatial domain☆65Updated last year
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆207Updated last year
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆31Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆102Updated last year
- ☆49Updated 3 months ago
- ☆26Updated 2 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆68Updated 2 years ago
- ☆29Updated last year
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆53Updated last year
- overview of spatial datasets☆70Updated last year
- ☆37Updated last year
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆80Updated last month
- Single-cell biological network inference using a heterogeneous graph transformer☆70Updated last year
- Spatial-Linked Alignment Tool☆82Updated 2 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆59Updated 8 months ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆43Updated last year
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆26Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆122Updated 2 years ago
- Multi-omics integration method using AE and GCN☆33Updated last year
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 3 years ago
- ☆31Updated 8 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆37Updated 5 months ago
- Single-cell epigenomic data annotation via supervised non-linear embedding☆23Updated 2 years ago
- single-cell graph attentional clustering☆12Updated 3 years ago