xiaoyeye / GCNGLinks
using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
☆56Updated 4 years ago
Alternatives and similar repositories for GCNG
Users that are interested in GCNG are comparing it to the libraries listed below
Sorting:
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- ☆30Updated 4 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 4 months ago
- ☆46Updated 5 months ago
- Conditional out-of-distribution prediction☆61Updated last year
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 6 months ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- Biological Network Integration using Convolutions☆63Updated last year
- ☆35Updated 3 years ago
- spatial transcriptome, single cell☆73Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆154Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆46Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 10 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆106Updated 2 years ago
- ☆60Updated last year
- scDeepCluster for Single Cell RNA-seq data☆103Updated last year
- ☆19Updated 4 years ago
- Hypergraph Factorisation☆26Updated last year
- ☆18Updated 4 years ago
- scDCC: Single Cell Deep Constrained Clustering☆43Updated last year