xiaoyeye / GCNG
using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
☆56Updated 3 years ago
Alternatives and similar repositories for GCNG:
Users that are interested in GCNG are comparing it to the libraries listed below
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 10 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆60Updated 6 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated last year
- ☆19Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- ☆45Updated 2 years ago
- ☆16Updated 2 years ago
- spatial transcriptome, single cell☆68Updated 2 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- ☆29Updated 2 years ago
- ☆38Updated 2 years ago
- Hypergraph Factorisation☆23Updated 5 months ago
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆17Updated 2 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- ☆29Updated 2 years ago
- ☆79Updated last year
- ☆54Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆72Updated 2 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago