xuebaliang / scziDeskLinks
Deep soft K-means clustering with self-training for single cell RNA sequence data
☆25Updated 5 years ago
Alternatives and similar repositories for scziDesk
Users that are interested in scziDesk are comparing it to the libraries listed below
Sorting:
- single-cell graph attentional clustering☆14Updated 3 years ago
- ☆14Updated 4 years ago
- ☆19Updated 3 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated last year
- scDeepCluster for Single Cell RNA-seq data☆104Updated last year
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆15Updated 4 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆154Updated last year
- single-cell graph autoencoder☆24Updated 4 years ago
- ☆24Updated 4 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆64Updated 2 years ago
- Deep joint-leaning single-cell multi-omics model☆15Updated 3 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆24Updated 2 years ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆34Updated last year
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆61Updated 2 years ago
- a unified single-cell data integration framework by optimal transport☆34Updated last year
- ☆35Updated 3 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆47Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆29Updated last year
- ☆13Updated last year
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆55Updated 5 months ago
- ☆138Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Single-Cell Multimodal Prediction via Transformer☆28Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 8 months ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆16Updated 3 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Identify spatial domain☆86Updated 5 months ago