xuebaliang / scAnClusterLinks
Single-cell RNA-seq clustering and annotation
☆13Updated 4 years ago
Alternatives and similar repositories for scAnCluster
Users that are interested in scAnCluster are comparing it to the libraries listed below
Sorting:
- Novel joint clustering method with scRNA-seq and CITE-seq data☆10Updated 4 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆19Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 6 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Updated 4 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 5 years ago
- ☆19Updated 4 years ago
- A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques☆16Updated 4 years ago
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 3 years ago
- ☆16Updated 3 years ago
- Bootstrap imputation for scRNAseq data☆12Updated 5 years ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆18Updated 4 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- ☆11Updated 5 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- SingleCellFusion--a tool to integrate single-cell transcriptome and epigenome data☆12Updated 3 years ago
- scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers☆21Updated 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
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Conditional out-of-distribution prediction☆63Updated last year
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆22Updated 4 years ago
- SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data☆15Updated 4 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Updated 5 years ago
- ☆26Updated 5 years ago
- ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)☆14Updated 6 years ago
- Scripts for data and figure generation in SAVER paper☆17Updated 4 years ago
- ☆13Updated 5 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 3 months ago
- fast hierarchical clustering for large-scale single-cell data☆10Updated 4 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago