xuyungang / scIGANsLinks
Generative adversarial networks for single-cell RNA-seq imputation
☆39Updated 4 years ago
Alternatives and similar repositories for scIGANs
Users that are interested in scIGANs are comparing it to the libraries listed below
Sorting:
- cTPnet Package☆25Updated 2 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆16Updated 2 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year
- ☆44Updated 2 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- ☆30Updated last month
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective vari…☆11Updated 2 years ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- scLearn:Learning for single cell assignment☆35Updated 5 months ago
- Reproducing result from the paper☆33Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆35Updated 11 months ago
- ☆45Updated 2 years ago
- ☆58Updated 8 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆65Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- ☆36Updated this week
- ☆42Updated last year
- ACTIONet single-cell analysis framework☆41Updated 8 months ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆88Updated 3 years ago
- Gene group activity utility functions for Scanpy☆76Updated 5 months ago
- ☆27Updated 4 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 10 months ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆20Updated 6 months ago
- Imputation method for scRNA-seq based on low-rank approximation☆74Updated last year
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆61Updated last year