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 last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- single-cell graph autoencoder☆22Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- ☆16Updated 4 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- ☆18Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆14Updated 8 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- ☆29Updated 3 years ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated 2 months ago
- ☆14Updated 2 weeks ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated 2 years ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- ☆19Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Paper collection for single cell foundation models☆32Updated last year
- ☆17Updated 3 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years 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
- Functional and Learnable Cell dynamicS☆17Updated last month
- ☆13Updated 2 months ago