biomed-AI / GraphSCILinks
Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
☆19Updated last year
Alternatives and similar repositories for GraphSCI
Users that are interested in GraphSCI are comparing it to the libraries listed below
Sorting:
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- ☆16Updated 3 years ago
- ☆33Updated 2 years ago
- ☆82Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆40Updated last year
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- covolutional neural network based coexpression analysis☆78Updated 5 years ago
- ☆17Updated 3 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 4 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated this week
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆33Updated 2 years ago
- ☆30Updated 3 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 5 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆15Updated 9 months ago
- ☆76Updated 3 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated last month
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆146Updated 11 months ago
- VEGA: VAE Enhanced by Gene Annotations☆16Updated 3 years ago