ZJUFanLab / scDeepSort_performance_comparisonLinks
The source code and results for different methods on annotating external testing datsets of human and mouse.
☆12Updated 4 years ago
Alternatives and similar repositories for scDeepSort_performance_comparison
Users that are interested in scDeepSort_performance_comparison are comparing it to the libraries listed below
Sorting:
- ☆14Updated 4 years ago
- ☆16Updated 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 3 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆21Updated last year
- CeSpGRN: Inferring cell specific GRN using single-cell gene expression data☆21Updated last year
- 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 5 years ago
- ☆18Updated 3 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Imputation of single cell sequencing data☆9Updated 4 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆19Updated 3 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
- ☆45Updated 2 weeks ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆40Updated last year
- ☆48Updated 6 years ago
- Deep Embedding for Single-cell Clustering☆87Updated last year
- ☆19Updated 4 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- VEGA: VAE Enhanced by Gene Annotations☆16Updated 3 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 9 months ago
- ☆32Updated 3 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 5 years ago
- Low-dimensional Projection of Single Cell Velocity☆28Updated 2 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 2 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated 2 years ago