cs-wangbo / Spatial-MGCNLinks
☆21Updated last year
Alternatives and similar repositories for Spatial-MGCN
Users that are interested in Spatial-MGCN are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- ☆41Updated last year
- Identify spatial domain☆79Updated 2 months ago
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆28Updated last year
- ☆39Updated last year
- ☆127Updated last year
- An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"☆18Updated 2 years ago
- STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages☆23Updated last year
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆73Updated 3 years ago
- Single-cell spatial elucidation through image-augmented graph transformer☆33Updated 2 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆46Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- ☆60Updated 9 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆66Updated last year
- ☆21Updated last year
- a unified single-cell data integration framework by optimal transport☆35Updated 10 months ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆57Updated last year
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 4 years ago
- PAST: a Prior-based self-Attention method for Spatial Transcriptomics☆12Updated 5 months ago
- overview of spatial datasets☆75Updated last year
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆33Updated last year
- single-cell graph attentional clustering☆13Updated 3 years ago
- ☆30Updated 2 years ago
- A novel method named stDiff investigates the potential of employing diffusion models for single-cell omics generation.☆22Updated last year
- ☆122Updated 3 years ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Multi-omics data analysis for rare population inference using single-cell graph transformer☆19Updated 9 months ago
- ☆59Updated last year
- scDCC: Single Cell Deep Constrained Clustering☆40Updated last year
- scAce: an adaptive embedding and clustering method for scRNA-seq data☆11Updated last year