xuyungang / scIGANsLinks
Generative adversarial networks for single-cell RNA-seq imputation
☆39Updated 5 years ago
Alternatives and similar repositories for scIGANs
Users that are interested in scIGANs are comparing it to the libraries listed below
Sorting:
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- cTPnet Package☆26Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- ☆44Updated 3 years ago
- ACTIONet single-cell analysis framework☆42Updated last year
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated last year
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Updated 5 years ago
- ☆45Updated 3 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- ☆102Updated 2 years ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆62Updated 5 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 9 months ago
- ☆33Updated 6 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated last month
- Reproducing result from the paper☆34Updated 4 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 4 months ago
- Conditional out-of-distribution prediction☆63Updated last year
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- ☆56Updated last year
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- ☆16Updated 3 years ago
- scLearn:Learning for single cell assignment☆35Updated 10 months ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 5 years ago
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆31Updated 4 years ago