ttgump / scDCCLinks
scDCC: Single Cell Deep Constrained Clustering
☆41Updated last year
Alternatives and similar repositories for scDCC
Users that are interested in scDCC are comparing it to the libraries listed below
Sorting:
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆33Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- ☆14Updated 4 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 months ago
- ☆34Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆75Updated 6 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- ☆16Updated 3 years ago
- ☆32Updated 5 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆150Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated last year
- overview of spatial datasets☆76Updated last year
- ☆18Updated 3 years ago
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 4 years ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆73Updated last year
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- ☆18Updated 4 years ago
- Deep joint-leaning single-cell multi-omics model☆15Updated 3 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- a unified single-cell data integration framework by optimal transport☆35Updated 11 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- ☆30Updated 3 years ago
- ☆29Updated 2 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆104Updated 2 years ago
- ☆128Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.