KrishnaswamyLab / MAGANLinks
☆18Updated last year
Alternatives and similar repositories for MAGAN
Users that are interested in MAGAN are comparing it to the libraries listed below
Sorting:
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Drug Response Variational Autoencoder☆31Updated 6 years ago
- Archetypal Analysis network (AAnet)☆37Updated 8 months ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 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
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- Deep learning for single-cell transcript counts☆89Updated 6 months ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 3 months ago
- Conditional out-of-distribution prediction☆63Updated last year
- Hypergraph Factorisation☆26Updated 10 months ago
- ☆18Updated 3 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆76Updated last year
- ☆56Updated 5 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- ☆48Updated 6 years ago
- ☆100Updated last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- scDeepCluster for Single Cell RNA-seq data☆103Updated last year
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 9 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- ☆28Updated 5 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 5 years ago
- ☆63Updated 2 years ago