biomed-AI / GraphSCCLinks
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
Sorting:
- ☆14Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 11 months ago
- ☆16Updated 4 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Explaining the genetic causality for complex diseases by deep association kernel learning☆15Updated 4 years ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- 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.☆50Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- ☆29Updated 3 years ago
- ☆23Updated 2 years ago
- "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…☆14Updated 2 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- ☆18Updated 3 years ago
- scDCC: Single Cell Deep Constrained Clustering☆40Updated 10 months ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- a variational autoencoder method for clustering single-cell mutation data☆11Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- ☆17Updated 3 years ago
- ☆14Updated 7 years ago
- ☆11Updated 3 years ago
- ☆16Updated 3 years ago