jwang-lab / scGNN
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
☆11Updated 4 years ago
Alternatives and similar repositories for scGNN:
Users that are interested in scGNN are comparing it to the libraries listed below
- MARIO: single-cell proteomic data matching and integration using both shared and distinct features☆23Updated last year
- A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques☆15Updated 3 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
- Code for Universal Single-Cell Matching with Unpaired Feature Sets☆21Updated 3 years ago
- SingleCellFusion--a tool to integrate single-cell transcriptome and epigenome data☆12Updated 3 years ago
- ☆45Updated 2 years ago
- ☆10Updated last year
- scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers☆21Updated 3 years ago
- ☆19Updated 3 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 3 years ago
- Imputation of single cell sequencing data☆9Updated 4 years ago
- cTPnet Package☆25Updated 2 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:☆24Updated 3 years ago
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 2 years ago
- scRNAseq integration with triplet neural networks☆40Updated 2 years ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆52Updated 10 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆34Updated 9 months ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆30Updated 5 years ago
- Spatially-resolved Transcriptomics via Epitope Anchoring☆18Updated last year
- scLearn：Learning for single cell assignment☆35Updated 4 months ago
- SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data☆15Updated 3 years ago
- Reproducibility Repo for mvTCR paper☆13Updated last year
- ☆25Updated 5 years ago
- Scripts for data and figure generation in SAVER paper☆17Updated 4 years ago
- ☆15Updated 8 years ago
- CAST package☆34Updated 5 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- Reproducing result from the paper☆33Updated 3 years ago
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆40Updated 2 years ago