ZJUFanLab / scDeepSort_performance_comparison
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
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- VEGA: VAE Enhanced by Gene Annotations☆15Updated 2 years ago
- ☆21Updated 10 months ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆19Updated 3 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 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
- 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
- Low-dimensional Projection of Single Cell Velocity☆27Updated 2 years ago
- ☆15Updated 2 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year
- ☆45Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- ☆29Updated last week
- ☆43Updated last month
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆41Updated 7 months ago
- Reproducing result from the paper☆33Updated 3 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 3 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆26Updated 5 years ago
- Imputation method for scRNA-seq based on low-rank approximation☆74Updated last year
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆38Updated 7 months ago
- an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo space with spatial tran…☆22Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- scLearn:Learning for single cell assignment☆35Updated 4 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆59Updated 6 months ago