davidbuterez / CellVGAE
An unsupervised scRNA-seq analysis workflow with graph attention networks
☆24Updated last year
Alternatives and similar repositories for CellVGAE:
Users that are interested in CellVGAE are comparing it to the libraries listed below
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- ☆29Updated 3 years ago
- ☆29Updated last week
- ☆15Updated 2 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆13Updated 6 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- ☆14Updated 2 years ago
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- ☆17Updated 3 years ago
- ☆13Updated 5 years ago
- The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective vari…☆11Updated 2 years ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- ☆45Updated 2 years ago
- ☆18Updated 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
- repository containing analysis scripts and auxiliary files☆33Updated 5 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 10 months ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 4 years ago
- ☆54Updated last year
- MultiMAP for integration of single cell multi-omics☆56Updated last year
- ☆19Updated 3 years ago
- ☆10Updated last year
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆51Updated 4 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- ☆43Updated last month