biomed-AI / GraphSCC
single-cell RNA-seq clustering
☆10Updated 4 years ago
Alternatives and similar repositories for GraphSCC:
Users that are interested in GraphSCC are comparing it to the libraries listed below
- ☆14Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 8 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated 2 weeks ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆30Updated 2 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆13Updated last year
- ☆26Updated 2 years ago
- ☆16Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- a unified single-cell data integration framework by optimal transport☆34Updated 4 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆14Updated 5 years ago
- ☆17Updated 3 years ago
- ☆11Updated 3 years ago
- ☆17Updated 4 months ago
- ☆37Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 4 years ago
- "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…☆14Updated 2 years ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆37Updated 8 months ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆50Updated 4 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated 7 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆31Updated 2 years ago